Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
3,300 | Assessing Visual Quality of Omnidirectional Videos | eess.IV | In contrast with traditional video, omnidirectional video enables spherical
viewing direction with support for head-mounted displays, providing an
interactive and immersive experience. Unfortunately, to the best of our
knowledge, there are few visual quality assessment (VQA) methods, either
subjective or objective, for... | electrics |
3,301 | Image Acquisition System Using On Sensor Compressed Sampling Technique | eess.IV | Advances in CMOS technology have made high resolution image sensors possible.
These image sensor pose significant challenges in terms of the amount of raw
data generated, energy efficiency and frame rate. This paper presents a new
design methodology for an imaging system and a simplified novel image sensor
pixel design... | electrics |
3,302 | Having your cake and eating it too: Scripted workflows for image manipulation | eess.IV | The reproducibility issue in science has come under increased scrutiny. One
consistent suggestion lies in the use of scripted methods or workflows for data
analysis. Image analysis is one area in science in which little can be done in
scripted methods. The SWIIM Project (Scripted Workflows to Improve Image
Manipulation... | electrics |
3,303 | Neuromorphic adaptive edge-preserving denoising filter | eess.IV | In this paper, we present on-sensor neuromorphic vision hardware
implementation of denoising spatial filter. The mean or median spatial filters
with fixed window shape are known for its denoising ability, however, have the
drawback of blurring the object edges. The effect of blurring increases with an
increase in windo... | electrics |
3,304 | Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI | eess.IV | A central limitation of multiple-acquisition magnetic resonance imaging (MRI)
is the degradation in scan efficiency as the number of distinct datasets grows.
Sparse recovery techniques can alleviate this limitation via randomly
undersampled acquisitions. A frequent sampling strategy is to prescribe for
each acquisition... | electrics |
3,305 | Light Field Retargeting for Multi-Panel Displays | eess.IV | Light fields preserve angular information which can be retargeted to
multi-panel depth displays. Due to limited aperture size and constrained
spatial-angular sampling of many light field capture systems, the displayed
light fields provide only a narrow viewing zone in which parallax views can be
supported. In addition,... | electrics |
3,306 | A Semi-Automated Technique for Internal Jugular Vein Segmentation in Ultrasound Images Using Active Contours | eess.IV | The assessment of the blood volume is crucial for the management of many
acute and chronic diseases. Recent studies have shown that circulating blood
volume correlates with the cross-sectional area (CSA) of the internal jugular
vein (IJV) estimated from ultrasound imagery. In this paper, a semi-automatic
segmentation a... | electrics |
3,307 | A Fast and Efficient Near-Lossless Image Compression using Zipper Transformation | eess.IV | Near-lossless image compression-decompression scheme is proposed in this
paper using Zipper Transformation (ZT) and inverse zipper transformation (iZT).
The proposed ZT exploits the conjugate symmetry property of Discrete Fourier
Transformation (DFT). The proposed transformation is implemented using two
different confi... | electrics |
3,308 | On-the-fly Adaptive $k$-Space Sampling for Linear MRI Reconstruction Using Moment-Based Spectral Analysis | eess.IV | In high-dimensional magnetic resonance imaging applications, time-consuming,
sequential acquisition of data samples in the spatial frequency domain
($k$-space) can often be accelerated by accounting for dependencies along
imaging dimensions other than space in linear reconstruction, at the cost of
noise amplification t... | electrics |
3,309 | Silver Standard Masks for Data Augmentation Applied to Deep-Learning-Based Skull-Stripping | eess.IV | The bottleneck of convolutional neural networks (CNN) for medical imaging is
the number of annotated data required for training. Manual segmentation is
considered to be the "gold-standard". However, medical imaging datasets with
expert manual segmentation are scarce as this step is time-consuming and
expensive. We prop... | electrics |
3,310 | Diffraction Influence on the Field of View and Resolution of Three-Dimensional Integral Imaging | eess.IV | The influence of the diffraction limit on the field of view of
three-dimensional integral imaging (InI) systems is estimated by calculating
the resolution of the InI system along arbitrarily tilted directions. The
deteriorating effects of diffraction on the resolution are quantified in this
manner. Two different three-... | electrics |
3,311 | Semi-Parallel Deep Neural Networks (SPDNN), Convergence and Generalization | eess.IV | The Semi-Parallel Deep Neural Network (SPDNN) idea is explained in this
article and it has been shown that the convergence of the mixed network is very
close to the best network in the set and the generalization of SPDNN is better
than all the parent networks. | electrics |
3,312 | Exploiting Occlusion in Non-Line-of-Sight Active Imaging | eess.IV | Active non-line-of-sight imaging systems are of growing interest for diverse
applications. The most commonly proposed approaches to date rely on exploiting
time-resolved measurements, i.e., measuring the time it takes for short light
pulses to transit the scene. This typically requires expensive, specialized,
ultrafast... | electrics |
3,313 | Efficient and fast algorithms to generate holograms for optical tweezers | eess.IV | We discuss and compare three algorithms for generating holograms: simple
rounding, Floyd-Steinberg error diffusion dithering, and mixed region amplitude
freedom (MRAF). The methods are optimised for producing large arrays of tightly
focused optical tweezers for trapping particles. The algorithms are compared in
terms o... | electrics |
3,314 | EDIZ: An Error Diffusion Image Zooming Scheme | eess.IV | Interpolation based image zooming methods provide a high execution speed and
low computational complexity. However, the quality of the zoomed images is
unsatisfactory in many cases. The main challenge of super- resolution methods
is to create new details to the image. This paper proposes a new algorithm to
create new d... | electrics |
3,315 | Cascaded Reconstruction Network for Compressive image sensing | eess.IV | The theory of compressed sensing (CS) has been successfully applied to image
compression in the past few years, whose traditional iterative reconstruction
algorithm is time-consuming. However, it has been reported deep learning-based
CS reconstruction algorithms could greatly reduce the computational complexity.
In thi... | electrics |
3,316 | Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans | eess.IV | Objective: Hydrocephalus is a medical condition in which there is an abnormal
accumulation of cerebrospinal fluid (CSF) in the brain. Segmentation of brain
imagery into brain tissue and CSF (before and after surgery, i.e. pre-op vs.
postop) plays a crucial role in evaluating surgical treatment. Segmentation of
pre-op i... | electrics |
3,317 | Analysis-synthesis model learning with shared features: a new framework for histopathological image classification | eess.IV | Automated histopathological image analysis offers exciting opportunities for
the early diagnosis of several medical conditions including cancer. There are
however stiff practical challenges: 1.) discriminative features from such
images for separating diseased vs. healthy classes are not readily apparent,
and 2.) distin... | electrics |
3,318 | RIBBONS: Rapid Inpainting Based on Browsing of Neighborhood Statistics | eess.IV | Image inpainting refers to filling missing places in images using neighboring
pixels. It also has many applications in different tasks of image processing.
Most of these applications enhance the image quality by significant unwanted
changes or even elimination of some existing pixels. These changes require
considerable... | electrics |
3,319 | Image Inpainting by Hyperbolic Selection of Pixels for Two Dimensional Bicubic Interpolations | eess.IV | Image inpainting is a restoration process which has numerous applications.
Restoring of scanned old images with scratches, or removing objects in images
are some of inpainting applications. Different approaches have been used for
implementation of inpainting algorithms. Interpolation approaches only consider
one direct... | electrics |
3,320 | Predicting Encoded Picture Quality in Two Steps is a Better Way | eess.IV | Full-reference (FR) image quality assessment (IQA) models assume a high
quality "pristine" image as a reference against which to measure perceptual
image quality. In many applications, however, the assumption that the reference
image is of high quality may be untrue, leading to incorrect perceptual quality
predictions.... | electrics |
3,321 | Mosaicked multispectral image compression based on inter- and intra-band correlation | eess.IV | Multispectral imaging has been utilized in many fields, but the cost of
capturing and storing image data is still high. Single-sensor cameras with
multispectral filter arrays can reduce the cost of capturing images at the
expense of slightly lower image quality. When multispectral filter arrays are
used, conventional m... | electrics |
3,322 | Region of Interest (ROI) Coding for Aerial Surveillance Video using AVC & HEVC | eess.IV | Aerial surveillance from Unmanned Aerial Vehicles (UAVs), i.e. with moving
cameras, is of growing interest for police as well as disaster area monitoring.
For more detailed ground images the camera resolutions are steadily increasing.
Simultaneously the amount of video data to transmit is increasing
significantly, too.... | electrics |
3,323 | Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition | eess.IV | The most unique advantage of multipass SAR interferometry (InSAR) is the
retrieval of long term geophysical parameters, e.g. linear deformation rates,
over large areas. Recently, an object-based multipass InSAR framework has been
proposed in [1], as an alternative to the typical single-pixel methods, e.g.
Persistent Sc... | electrics |
3,324 | Snapshot light-field laryngoscope | eess.IV | The convergence of recent advances in optical fabrication and digital
processing yields a new generation of imaging technology: light-field cameras,
which bridge the realms of applied mathematics, optics, and high-performance
computing. Herein for the first time, we introduce the paradigm of light-field
imaging into la... | electrics |
3,325 | Reconstruction of Compressively Sensed Images using Convex Tikhonov Sparse Dictionary Learning and Adaptive Spectral Filtering | eess.IV | Sparse representation using over-complete dictionaries have shown to produce
good quality results in various image processing tasks. Dictionary learning
algorithms have made it possible to engineer data adaptive dictionaries which
have promising applications in image compression and image enhancement. The
most common s... | electrics |
3,326 | Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network | eess.IV | Colorectal cancer is a one of the highest causes of cancer-related death,
especially in men. Polyps are one of the main causes of colorectal cancer and
early diagnosis of polyps by colonoscopy could result in successful treatment.
Diagnosis of polyps in colonoscopy videos is a challenging task due to
variations in the ... | electrics |
3,327 | Face Synthesis with Landmark Points from Generative Adversarial Networks and Inverse Latent Space Mapping | eess.IV | Facial landmarks refer to the localization of fundamental facial points on
face images. There have been a tremendous amount of attempts to detect these
points from facial images however, there has never been an attempt to
synthesize a random face and generate its corresponding facial landmarks. This
paper presents a fr... | electrics |
3,328 | Satellite Image Scene Classification via ConvNet with Context Aggregation | eess.IV | Scene classification is a fundamental problem to understand the
high-resolution remote sensing imagery. Recently, convolutional neural network
(ConvNet) has achieved remarkable performance in different tasks, and
significant efforts have been made to develop various representations for
satellite image scene classificat... | electrics |
3,329 | Efficient Nonlinear Transforms for Lossy Image Compression | eess.IV | We assess the performance of two techniques in the context of nonlinear
transform coding with artificial neural networks, Sadam and GDN. Both
techniques have been successfully used in state-of-the-art image compression
methods, but their performance has not been individually assessed to this
point. Together, the techni... | electrics |
3,330 | Determining JPEG Image Standard Quality Factor from the Quantization Tables | eess.IV | Identifying the quality factor of JPEG images is very useful for applications
in digital image forensics. Though several command-line tools exist and are
used in widely used software such as \emph{GIMP} (GNU Image Manipulation
Program), the well-known image editing software, or the \emph{ImageMagick}
suite, we have fou... | electrics |
3,331 | Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights | eess.IV | Colorectal cancer is one of the common cancers in the United States. Polyp is
one of the main causes of the colonic cancer and early detection of polyps will
increase chance of cancer treatments. In this paper, we propose a novel
classification of informative frames based on a convolutional neural network
with binarize... | electrics |
3,332 | A Practical Guide to Multi-image Alignment | eess.IV | Multi-image alignment, bringing a group of images into common register, is an
ubiquitous problem and the first step of many applications in a wide variety of
domains. As a result, a great amount of effort is being invested in developing
efficient multi-image alignment algorithms. Little has been done, however, to
answe... | electrics |
3,333 | On variational solutions for whole brain serial-section histology using the computational anatomy random orbit model | eess.IV | This paper presents a variational framework for dense diffeomorphic
atlas-mapping onto high-throughput histology stacks at the 20 um meso-scale.
The observed sections are modelled as Gaussian random fields conditioned on a
sequence of unknown section by section rigid motions and unknown diffeomorphic
transformation of ... | electrics |
3,334 | Estimating Depth-Salient Edges And its Application To Stereoscopic Image Quality Assessment | eess.IV | The human visual system pays attention to salient regions while perceiving an
image. When viewing a stereoscopic 3D (S3D) image, we hypothesize that while
most of the contribution to saliency is provided by the 2D image, a small but
significant contribution is provided by the depth component. Further, we claim
that onl... | electrics |
3,335 | The Coupled TuFF-BFF Algorithm for Automatic 3D Segmentation of Microglia | eess.IV | We propose an automatic 3D segmentation algorithm for multiphoton microscopy
images of microglia. Our method is capable of segmenting tubular and blob-like
structures from noisy images. Current segmentation techniques and software fail
to capture the fine processes and soma of the microglia cells, useful for the
study ... | electrics |
3,336 | On Random-Matrix Bases, Ghost Imaging and X-ray Phase Contrast Computational Ghost Imaging | eess.IV | A theory of random-matrix bases is presented, including expressions for
orthogonality, completeness and the random-matrix synthesis of arbitrary
matrices. This is applied to ghost imaging as the realization of a random-basis
reconstruction, including an expression for the resulting signal-to-noise
ratio. Analysis of co... | electrics |
3,337 | Time-Series Based Thermography on Concrete Block Void Detection | eess.IV | Using thermography as a nondestructive method for subsurface detection of the
concrete structure has been developed for decades. However, the performance of
current practice is limited due to the heavy reliance on the environmental
conditions as well as complex environmental noises. A non-time-series method
suffers fro... | electrics |
3,338 | Nonlinear Shape Regression For Filtering Segmentation Results From Calcium Imaging | eess.IV | A shape filter is presented to repair segmentation results obtained in
calcium imaging of neurons in vivo. This post-segmentation algorithm can
automatically smooth the shapes obtained from a preliminary segmentation, while
precluding the cases where two neurons are counted as one combined component.
The shape filter i... | electrics |
3,339 | OSLO: Automatic Cell Counting and Segmentation for Oligodendrocyte Progenitor Cells | eess.IV | Reliable cell counting and segmentation of oligodendrocyte progenitor cells
(OPCs) are critical image analysis steps that could potentially unlock
mysteries regarding OPC function during pathology. We propose a saliency-based
method to detect OPCs and use a marker-controlled watershed algorithm to
segment the OPCs. Thi... | electrics |
3,340 | Computational Image Enhancement for Frequency Modulated Continuous Wave (FMCW) THz Image | eess.IV | In this paper, a novel method to enhance Frequency Modulated Continuous Wave
(FMCW) THz imaging resolution beyond its diffraction limit is proposed. Our
method comprises two stages. Firstly, we reconstruct the signal in
depth-direction using a sinc-envelope, yielding a significant improvement in
depth estimation and si... | electrics |
3,341 | Algorithmic improvements for the CIECAM02 and CAM16 color appearance models | eess.IV | This note is concerned with the CIECAM02 color appearance model and its
successor, the CAM16 color appearance model. Several algorithmic flaws are
pointed out and remedies are suggested. The resulting color model is
algebraically equivalent to CIECAM02/CAM16, but shorter, more efficient, and
works correctly for all edg... | electrics |
3,342 | Multispectral Focal Stack Acquisition Using A Chromatic Aberration Enlarged Camera | eess.IV | Capturing more information, e.g. geometry and material, using optical cameras
can greatly help the perception and understanding of complex scenes. This paper
proposes a novel method to capture the spectral and light field information
simultaneously. By using a delicately designed chromatic aberration enlarged
camera, t... | electrics |
3,343 | Towards Automatic SAR-Optical Stereogrammetry over Urban Areas using Very High Resolution Imagery | eess.IV | In this paper we discuss the potential and challenges regarding SAR-optical
stereogrammetry for urban areas, using very-high-resolution (VHR) remote
sensing imagery. Since we do this mainly from a geometrical point of view, we
first analyze the height reconstruction accuracy to be expected for different
stereogrammetri... | electrics |
3,344 | Temporo-Spatial Collaborative Filtering for Parameter Estimation in Noisy DCE-MRI Sequences: Application to Breast Cancer Chemotherapy Response | eess.IV | Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a minimally
invasive imaging technique which can be used for characterizing tumor biology
and tumor response to radiotherapy. Pharmacokinetic (PK) estimation is widely
used for DCE-MRI data analysis to extract quantitative parameters relating to
microvas... | electrics |
3,345 | Large-Scale Study of Perceptual Video Quality | eess.IV | The great variations of videographic skills, camera designs, compression and
processing protocols, and displays lead to an enormous variety of video
impairments. Current no-reference (NR) video quality models are unable to
handle this diversity of distortions. This is true in part because available
video quality assess... | electrics |
3,346 | Tracking of the Internal Jugular Vein in Ultrasound Images Using Optical Flow | eess.IV | Detection of relative changes in circulating blood volume is important to
guide resuscitation and manage variety of medical conditions including sepsis,
trauma, dialysis and congestive heart failure. Recent studies have shown that
estimates of circulating blood volume can be obtained from ultrasound imagery
of the of t... | electrics |
3,347 | Saliency Inspired Quality Assessment of Stereoscopic 3D Video | eess.IV | To study the visual attentional behavior of Human Visual System (HVS) on 3D
content, eye tracking experiments are performed and Visual Attention Models
(VAMs) are designed. One of the main applications of these VAMs is in quality
assessment of 3D video. The usage of 2D VAMs in designing 2D quality metrics is
already we... | electrics |
3,348 | A Perceptual Based Motion Compensation Technique for Video Coding | eess.IV | Motion estimation is one of the important procedures in the all video
encoders. Most of the complexity of the video coder depends on the complexity
of the motion estimation step. The original motion estimation algorithm has a
remarkable complexity and therefore many improvements were proposed to enhance
the crude versi... | electrics |
3,349 | Exploring the Distributed Video Coding in a Quality Assessment Context | eess.IV | In the popular video coding trend, the encoder has the task to exploit both
spatial and temporal redundancies present in the video sequence, which is a
complex procedure. As a result almost all video encoders have five to ten times
more complexity than their decoders. In a video compression process, one of the
main tas... | electrics |
3,350 | Cubic Spline Interpolation Segmenting over Conventional Segmentation Procedures: Application and Advantages | eess.IV | To design a novel method for segmenting the image using Cubic Spline
Interpolation and compare it with different techniques to determine which gives
an efficient data to segment an image. This paper compares polynomial least
square interpolation and the conventional Otsu thresholding with spline
interpolation technique... | electrics |
3,351 | A Human Visual System-Based 3D Video Quality Metric | eess.IV | Although several 2D quality metrics have been proposed for images and videos,
in the case of 3D efforts are only at the initial stages. In this paper, we
propose a new full-reference quality metric for 3D content. Our method is
modeled around the HVS, fusing the information of both left and right channels,
considering ... | electrics |
3,352 | 3D Video Quality Metric for 3D Video Compression | eess.IV | As the evolution of multiview display technology is bringing glasses-free
3DTV closer to reality, MPEG and VCEG are preparing an extension to HEVC to
encode multiview video content. View synthesis in the current version of the 3D
video codec is performed using PSNR as a quality metric measure. In this paper,
we propose... | electrics |
3,353 | Effect of High Frame Rates on 3D Video Quality of Experience | eess.IV | In this paper, we study the effect of 3D videos with increased frame rates on
the viewers quality of experience. We performed a series of subjective tests to
seek the subjects preferences among videos of the same scene at four different
frame rates: 24, 30, 48, and 60 frames per second (fps). Results revealed that
subj... | electrics |
3,354 | Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content | eess.IV | While there exists a wide variety of Low Dynamic Range (LDR) quality metrics,
only a limited number of metrics are designed specifically for the High Dynamic
Range (HDR) content. With the introduction of HDR video compression
standardization effort by international standardization bodies, the need for an
efficient vide... | electrics |
3,355 | Compression of High Dynamic Range Video Using the HEVC and H.264/AVC Standards | eess.IV | The existing video coding standards such as H.264/AVC and High Efficiency
Video Coding (HEVC) have been designed based on the statistical properties of
Low Dynamic Range (LDR) videos and are not accustomed to the characteristics of
High Dynamic Range (HDR) content. In this study, we investigate the performance
of the l... | electrics |
3,356 | The Effect of Frame Rate on 3D Video Quality and Bitrate | eess.IV | Increasing the frame rate of a 3D video generally results in improved Quality
of Experience (QoE). However, higher frame rates involve a higher degree of
complexity in capturing, transmission, storage, and display. The question that
arises here is what frame rate guarantees high viewing quality of experience
given the ... | electrics |
3,357 | An Efficient Human Visual System Based Quality Metric for 3D Video | eess.IV | Stereoscopic video technologies have been introduced to the consumer market
in the past few years. A key factor in designing a 3D system is to understand
how different visual cues and distortions affect the perceptual quality of
stereoscopic video. The ultimate way to assess 3D video quality is through
subjective tests... | electrics |
3,358 | Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video | eess.IV | Visual Attention Models (VAMs) predict the location of an image or video
regions that are most likely to attract human attention. Although saliency
detection is well explored for 2D image and video content, there are only few
attempts made to design 3D saliency prediction models. Newly proposed 3D visual
attention mode... | electrics |
3,359 | Introducing A Public Stereoscopic 3D High Dynamic Range (SHDR) Video Database | eess.IV | High Dynamic Range (HDR) displays and cameras are paving their ways through
the consumer market at a rapid growth rate. Thanks to TV and camera
manufacturers, HDR systems are now becoming available commercially to end
users. This is taking place only a few years after the blooming of 3D video
technologies. MPEG/ITU are... | electrics |
3,360 | A Study on the Relationship Between Depth Map Quality and the Overall 3D Video Quality OF Experience | eess.IV | The emergence of multiview displays has made the need for synthesizing
virtual views more pronounced, since it is not practical to capture all of the
possible views when filming multiview content. View synthesis is performed
using the available views and depth maps. There is a correlation between the
quality of the syn... | electrics |
3,361 | Potential quality improvement of stochastic optical localization nanoscopy images obtained by frame by frame localization algorithms | eess.IV | A data movie of stochastic optical localization nanoscopy contains spatial
and temporal correlations, both providing information of emitter locations. The
majority of localization algorithms in the literature estimate emitter
locations by frame-by-frame localization (FFL), which exploit only the spatial
correlation and... | electrics |
3,362 | ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 - JCT3V-C0032: A human visual system based 3D video quality metric | eess.IV | This contribution proposes a full-reference Human-Visual-System based 3D
video quality metric. In this report, the presented metric is used to evaluate
the quality of compressed stereo pair formed from a decoded view and a
synthesized view. The performance of the proposed metric is verified through a
series of subjecti... | electrics |
3,363 | ISO/IEC JTC1/SC29/WG11 MPEG2014/ m34661: Quality Assessment of High Dynamic Range (HDR) Video Content Using Existing Full-Reference Metrics | eess.IV | The main focus of this document is to evaluate the performance of the
existing LDR and HDR metrics on HDR video content which in turn will allow for
a better understanding of how well each of these metrics work and if they can
be applied in capturing, compressing, transmitting process of HDR data. To this
end a series ... | electrics |
3,364 | Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet | eess.IV | Deep neural networks have demonstrated promising potential for the field of
medical image reconstruction. In this work, an MRI reconstruction algorithm,
which is referred to as quantitative susceptibility mapping (QSM), has been
developed using a deep neural network in order to perform dipole deconvolution,
which resto... | electrics |
3,365 | 3D Video Quality Metric for Mobile Applications | eess.IV | In this paper, we propose a new full-reference quality metric for mobile 3D
content. Our method is modeled around the Human Visual System, fusing the
information of both left and right channels, considering color components, the
cyclopean views of the two videos and disparity. Our method is assessing the
quality of 3D ... | electrics |
3,366 | Collaborative Sparse Priors for Infrared Image Multi-view ATR | eess.IV | Feature extraction from infrared (IR) images remains a challenging task.
Learning based methods that can work on raw imagery/patches have therefore
assumed significance. We propose a novel multi-task extension of the widely
used sparse-representation-classification (SRC) method in both single and
multi-view set-ups. Th... | electrics |
3,367 | A Unifying Decomposition and Reconstruction Model for Discrete Signals | eess.IV | Decomposing discrete signals such as images into components is vital in many
applications, and this paper propose a framework to produce filtering banks to
accomplish this task. The framework is an equation set which is ill-posed, and
thus have many solutions. Each solution can form a filtering bank consisting of
two d... | electrics |
3,368 | Target detection in synthetic aperture radar imagery: a state-of-the-art survey | eess.IV | Target detection is the front-end stage in any automatic target recognition
system for synthetic aperture radar (SAR) imagery (SAR-ATR). The efficacy of
the detector directly impacts the succeeding stages in the SAR-ATR processing
chain. There are numerous methods reported in the literature for implementing
the detecto... | electrics |
3,369 | Joint Bilateral Filter for Signal Recovery from Phase Preserved Curvelet Coefficients for Image Denoising | eess.IV | Thresholding of Curvelet Coefficients, for image denoising, drains out subtle
signal component in noise subspace. This produces ringing artifacts near edges
and granular effect in the denoised image. We found the noise sensitivity of
Curvelet phases (in contrast to their magnitude) reduces with higher noise
level. Thus... | electrics |
3,370 | Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer | eess.IV | Transferring a low-dynamic-range (LDR) image to a high-dynamic-range (HDR)
image, which is the so-called inverse tone mapping (iTM), is an important
imaging technique to improve visual effects of imaging devices. In this paper,
we propose a novel deep learning-based iTM method, which learns an inverse tone
mapping netw... | electrics |
3,371 | AV1 Video Coding Using Texture Analysis With Convolutional Neural Networks | eess.IV | Modern video codecs including the newly developed AOM/AV1 utilize hybrid
coding techniques to remove spatial and temporal redundancy. However, efficient
exploitation of statistical dependencies measured by a mean squared error (MSE)
does not always produce the best psychovisual result. One interesting approach
is to on... | electrics |
3,372 | An initial exploration of vicarious and in-scene calibration techniques for small unmanned aircraft systems | eess.IV | The use of small unmanned aircraft systems (sUAS) for applications in the
field of precision agriculture has demonstrated the need to produce temporally
consistent imagery to allow for quantitative comparisons. In order for these
aerial images to be used to identify actual changes on the ground, conversion
of raw digit... | electrics |
3,373 | Real-time single-pixel video imaging with Fourier domain regularization | eess.IV | We present a closed-form image reconstruction method for single pixel imaging
based on the generalized inverse of the measurement matrix. Its numerical cost
scales linearly with the number of measured samples. Regularization is obtained
by minimizing the norms of the convolution between the reconstructed image and
a se... | electrics |
3,374 | A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR | eess.IV | $L_1$ regularization is used for finding sparse solutions to an
underdetermined linear system. As sparse signals are widely expected in remote
sensing, this type of regularization scheme and its extensions have been widely
employed in many remote sensing problems, such as image fusion, target
detection, image super-res... | electrics |
3,375 | Conditional Entropy as a Supervised Primitive Segmentation Loss Function | eess.IV | Supervised image segmentation assigns image voxels to a set of labels, as
defined by a specific labeling protocol. In this paper, we decompose
segmentation into two steps. The first step is what we call "primitive
segmentation", where voxels that form sub-parts (primitives) of the various
segmentation labels available ... | electrics |
3,376 | Adaptive structured low rank algorithm for MR image recovery | eess.IV | We introduce an adaptive structured low rank algorithm to recover MR images
from their undersampled Fourier coefficients. The image is modeled as a
combination of a piecewise constant component and a piecewise linear component.
The Fourier coefficients of each component satisfy an annihilation relation,
which results i... | electrics |
3,377 | Comparing LBP, HOG and Deep Features for Classification of Histopathology Images | eess.IV | Medical image analysis has become a topic under the spotlight in recent
years. There is a significant progress in medical image research concerning the
usage of machine learning. However, there are still numerous questions and
problems awaiting answers and solutions, respectively. In the present study,
comparison of th... | electrics |
3,378 | A new focal-plane 3D imaging method based on temporal ghost imaging | eess.IV | A new focal-plane three-dimensional (3D) imaging method based on temporal
ghost imaging is proposed and demonstrated. By exploiting the advantages of
temporal ghost imaging, this method enables slow integrating cameras have an
ability of 3D surface imaging in the framework of sequential flood-illumination
and focal-pla... | electrics |
3,379 | Global Ultrasound Elastography Using Convolutional Neural Network | eess.IV | Displacement estimation is very important in ultrasound elastography and
failing to estimate displacement correctly results in failure in generating
strain images. As conventional ultrasound elastography techniques suffer from
decorrelation noise, they are prone to fail in estimating displacement between
echo signals o... | electrics |
3,380 | Comments on "Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform" | eess.IV | The recently introduced coder based on region-adaptive hierarchical transform
(RAHT) for the compression of point clouds attributes, was shown to have a
performance competitive with the state-of-the-art, while being much less
complex. In the paper "Compression of 3D Point Clouds Using a Region-Adaptive
Hierarchical Tra... | electrics |
3,381 | X-ray tomography of extended objects: a comparison of data acquisition approaches | eess.IV | The penetration power of x-rays allows one to image large objects. For
example, centimeter-sized specimens can be imaged with micron-level resolution
using synchrotron sources. In this case, however, the limited beam diameter and
detector size preclude the acquisition of the full sample in a single take,
necessitating ... | electrics |
3,382 | Hyperspectral Image Unmixing with Endmember Bundles and Group Sparsity Inducing Mixed Norms | eess.IV | Hyperspectral images provide much more information than conventional imaging
techniques, allowing a precise identification of the materials in the observed
scene, but because of the limited spatial resolution, the observations are
usually mixtures of the contributions of several materials. The spectral
unmixing problem... | electrics |
3,383 | A Count of Palm Trees from Satellite Image | eess.IV | In this research the number of palm trees was calculated from the satellite
image programmatically, taking advantage of the accuracy of the spatial
resolution of satellite image, the abilities of software recognition, and
characteristics of the palm tree, which give it a systematic top view can be
distinguished from th... | electrics |
3,384 | Robust Real-time Ellipse Fitting Based on Lagrange Programming Neural Network and Locally Competitive Algorithm | eess.IV | Given a set of 2-dimensional (2-D) scattering points, which are usually
obtained from the edge detection process, the aim of ellipse fitting is to
construct an elliptic equation that best fits the collected observations.
However, some of the scattering points may contain outliers due to imperfect
edge detection. To add... | electrics |
3,385 | Learned Compression Artifact Removal by Deep Residual Networks | eess.IV | We propose a method for learned compression artifact removal by
post-processing of BPG compressed images. We trained three networks of
different sizes. We encoded input images using BPG with different QP values. We
submitted the best combination of test images, encoded with different QP and
post-processed by one of thr... | electrics |
3,386 | A two-stage method for spectral-spatial classification of hyperspectral images | eess.IV | This paper proposes a novel two-stage method for the classification of
hyperspectral images. Pixel-wise classifiers, such as the classical support
vector machine (SVM), consider spectral information only; therefore they would
generate noisy classification results as spatial information is not utilized.
Many existing me... | electrics |
3,387 | Hyperspectral Unmixing by Nuclear Norm Difference Maximization based Dictionary Pruning | eess.IV | Dictionary pruning methods perform unmixing by identifying a smaller subset
of active spectral library elements that can represent the image efficiently as
a linear combination. This paper presents a new nuclear norm difference based
approach for dictionary pruning utilizing the low rank property of
hyperspectral data.... | electrics |
3,388 | Light interception modelling using unstructured LiDAR data in avocado orchards | eess.IV | In commercial fruit farming, managing the light distribution through canopies
is important because the amount and distribution of solar energy that is
harvested by each tree impacts the production of fruit quantity and quality. It
is therefore an important characteristic to measure and ultimately to control
with prunin... | electrics |
3,389 | Pavement Crack Detection Based on Mobile Laser Scanning Data | eess.IV | Pavement cracks is one of the most important reasons that affects the road
capacity. Nowadays, China has the longest highway mileage in the world, thus
using traditional manual methods to detect pavement cracks is both time and
labor consuming, besides, the detection results are prone to be affected by
detectors, which... | electrics |
3,390 | Blind Ptychography: Uniqueness and Ambiguities | eess.IV | Ptychography with an unknown mask and object is analyzed for general
ptychographic measurement schemes that are strongly connected and possess an
anchor.
Under a mild constraint on the mask phase, it is proved that the masked
object estimate must be the product of a block phase factor and the true masked
object. This... | electrics |
3,391 | A Multi-task Network to Detect Junctions in Retinal Vasculature | eess.IV | Junctions in the retinal vasculature are key points to be able to extract its
topology, but they vary in appearance, depending on vessel density, width and
branching/crossing angles. The complexity of junction patterns is usually
accompanied by a scarcity of labels, which discourages the usage of very deep
networks for... | electrics |
3,392 | High Performance Computing in Medical Image Analysis HuSSaR | eess.IV | In our former works we have made serious efforts to improve the performance
of medical image analysis methods with using ensemble-based systems. In this
paper, we present a novel hardware-based solution for the efficient adoption of
our complex, fusion-based approaches for real-time applications. Even though
most of th... | electrics |
3,393 | Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence | eess.IV | Tracking people in a video sequence is one of the fields of interest in
computer vision. It has broad applications in motion capture and surveillance.
However, due to the complexity of human dynamic structure, detecting and
tracking are not straightforward. Consequently, different detection and
tracking techniques with... | electrics |
3,394 | Sigmoid function based intensity transformation for parameter initialization in MRI-PET Registration Tool for Preclinical Studies | eess.IV | Images from Positron Emission Tomography (PET) deliver functional data such
as perfusion and metabolism. On the other hand, images from Magnetic Resonance
Imaging (MRI) provide information describing anatomical structures. Fusing the
complementary information from the two modalities is helpful in oncology. In
this proj... | electrics |
3,395 | A Convex Model for Edge-Histogram Specification with Applications to Edge-preserving Smoothing | eess.IV | The goal of edge-histogram specification is to find an image whose edge image
has a histogram that matches a given edge-histogram as much as possible.
Mignotte has proposed a non-convex model for the problem [M. Mignotte. An
energy-based model for the image edge-histogram specification problem. IEEE
Transactions on Ima... | electrics |
3,396 | Pansharpening via Detail Injection Based Convolutional Neural Networks | eess.IV | Pansharpening aims to fuse a multispectral (MS) image with an associated
panchromatic (PAN) image, producing a composite image with the spectral
resolution of the former and the spatial resolution of the latter. Traditional
pansharpening methods can be ascribed to a unified detail injection context,
which views the inj... | electrics |
3,397 | Deterministic X-ray Bragg coherent diffraction imaging as a seed for subsequent iterative reconstruction | eess.IV | Coherent diffractive imaging (CDI), using both X-rays and electrons, has made
extremely rapid progress over the past two decades. The associated
reconstruction algorithms are typically iterative, and seeded with a crude
first estimate. A deterministic method for Bragg Coherent Diffraction Imaging
(Pavlov et al., Sci. R... | electrics |
3,398 | Combining Radon transform and Electrical Capacitance Tomography for a $2d+1$ imaging device | eess.IV | This paper describes a coplanar non invasive non destructive capacitive
imaging device. We first introduce a mathematical model for its output, and
discuss some of its theoretical capabilities. We show that the data obtained
from this device can be interpreted as a weighted Radon transform of the
electrical permittivit... | electrics |
3,399 | Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression | eess.IV | Image compression has been investigated for many decades. Recently, deep
learning approaches have achieved a great success in many computer vision
tasks, and are gradually used in image compression. In this paper, we develop
three overall compression architectures based on convolutional autoencoders
(CAEs), generative ... | electrics |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.