|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- audio-to-audio |
|
|
language: |
|
|
- en |
|
|
--- |
|
|
|
|
|
# Dataset Card for LenslessMic Version of N(0,1) Random Dataset |
|
|
|
|
|
## Dataset Summary |
|
|
A LenslessMic version of the N(0,1) random images dataset from the |
|
|
["LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging"](https://arxiv.org/abs/2509.16418) paper. |
|
|
The dataset can be used to train a codec-agnostic reconstruction algorithm. |
|
|
|
|
|
| Partition | # Audio | # Frames | |
|
|
|--------------|---------|----------| |
|
|
| train | 200 | 30000 | |
|
|
|
|
|
**Note**: We split dataset into 200 files, however, there are no actual audio files. Only frames are used. |
|
|
|
|
|
To download the dataset and work with it, use our [official repository](https://github.com/Blinorot/LenslessMic). |
|
|
|
|
|
Dataset is collected using [DigiCam](https://arxiv.org/abs/2502.01102). Setup configuration: |
|
|
|
|
|
| Parameter | Value | |
|
|
|-------------------------------------------|--------------------| |
|
|
| Screen Size | [1920, 1200] | |
|
|
| Screen Pixel-Pitch | 0.27 mm | |
|
|
| Screen-To-Mask Distance | 30e-2 m | |
|
|
| Sensor Size | [4056, 3040] | |
|
|
| Sensor Size Downsample Coefficient | 8 | |
|
|
| Sensor Pixel-Pitch | 1.55 × 10⁻⁶ m | |
|
|
| Mask-To-Sensor Distance | ≈ 4e-3 m | |
|
|
| Image size on the Screen (256 case) | 928 × 928 | |
|
|
| Image size on the Screen (288 case) | 1044 × 1044 | |
|
|
| Vertical Shift on the Screen (256 case) | -23 | |
|
|
| Vertical Shift on the Screen (288 case) | -20 | |
|
|
| Number of masks | 100 | |
|
|
| Mask Aperture Shape (for 1/3 channels) | [18, 24] | |
|
|
| Mask Center | [55, 77] | |
|
|
|
|
|
For other configuration, please refer to the codebase above. |
|
|
|
|
|
## Dataset Structure |
|
|
Dataset is structured in the following format: |
|
|
|
|
|
``` |
|
|
. |
|
|
└── partition_name |
|
|
└── image_size # 16x16 or 32x32 |
|
|
├── lensed # lensed version of the video representation |
|
|
| └── filename_i.mkv # normalized video representation of i-th audio file using this codec |
|
|
└── lensless_measurement # lensless version captured using LenslessMic |
|
|
├── filename_i.mkv # lensless video of the i-th audio file |
|
|
├── filename_i.txt # label 'j' of the mask from the masks dir used for this video |
|
|
└── masks # masks for the lensless camera |
|
|
└── mask_j.npy # mask pattern |
|
|
``` |
|
|
|
|
|
Apart from other LenslessMic datasets, this one does not use any audio codecs. These are just random images from N(0,1). |
|
|
The dataset can be used to train a codec-agnostic reconstruction algorithm. No min/max vals are used (set to 0 and 1). |
|
|
|
|
|
Some codecs have different types of lensless measurements: |
|
|
|
|
|
1. `lensless_measurement`: standard version. Resizes images in a screen in a such a way that they have size 256x256 on the sensor. |
|
|
|
|
|
Region of interest for the reconstruction for this dataset is: |
|
|
|
|
|
| Sensor Image Size | Top Left Corner | Height | Width | |
|
|
| ----------------- | --------------- | ------ | ----- | |
|
|
| 256 x 256 | [65, 118] | 256 | 256 | |
|
|
|
|
|
|
|
|
## Citation |
|
|
|
|
|
If you use this dataset, please cite it as follows: |
|
|
|
|
|
```bibtex |
|
|
@article{grinberg2025lenslessmic, |
|
|
title = {LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging}, |
|
|
author = {Grinberg, Petr and Bezzam, Eric and Prandoni, Paolo and Vetterli, Martin}, |
|
|
journal = {arXiv preprint arXiv:2509.16418}, |
|
|
year = {2025}, |
|
|
} |
|
|
``` |
|
|
|
|
|
|
