update

CFA.py

@@ -140,8 +140,9 @@ def build_demo():
         original_image_state = gr.State()
         box_coords_state = gr.State(value=(0, 0))
 
-        gr.Markdown("# 🖼️ Image Patch Analyzer")
+        gr.Markdown("# 🎨 Color Filter Array Analysis")
         gr.Markdown(
+            "Analyzes artifacts introduced during the camera's raw image processing. Inconsistencies in the **Color Filter Array (CFA)** interpolation pattern can reveal areas that have been spliced from another image or copy-pasted within the same image (copy-move).\n"
             "**Instructions:**\n"
             "1. **Upload** an image.\n"
             "2. **Click** anywhere on the image to move the 128x128 selection box.\n"

JPEG_Ghost.py

@@ -99,8 +99,9 @@ def run_analysis(original_image: np.ndarray, box_coords: tuple, qf1: int, qf2: i
 def build_demo():
     # --- Build the Gradio Interface ---
     with gr.Blocks(theme=gr.themes.Soft()) as demo:
-        gr.Markdown("# 🕵️ JPEG Double Compression Analyzer")
+        gr.Markdown("# 👻 JPEG Ghost Detection")
         gr.Markdown(
+            "Detects forgeries by identifying regions within an image that were compressed with different **JPEG Quality Factors (QF)**. When an area from a different JPEG image is spliced in, it often carries the 'ghost' of its original compression level, which this tool can reveal. NOTE: This tool AUTOMATICALLY SIMULATE THE JPEG GHOST BY RECOMPRESSING THE SELECTED AREA. \n"
             "**Instructions:**\n"
             "1. **Upload** an image.\n"
             "2. **Click** on the image to move the 256x256 selection box.\n"

shadows.py

@@ -307,7 +307,8 @@ def reset_all(image, current_mode, current_points, y_lines, r_lines, y_pairs, r_
 
 def build_gradio_interface():
     with gr.Blocks() as demo:
-        gr.Markdown("# Shadows and Lights Inconsistent Vanishing Points Analyzer 🌕🌖🌗🌘🌑 \n \n A forensics tools that analyzes shadows vanishing points. Select two points (i.e. a corner and its corresponding shadow extremis)")
+        gr.Markdown("#🌕🌖 Shadow Consistency Analysis 🌗🌘🌑")
+        gr.Markdown("A utility for verifying geometric consistency of shadows in an image. By projecting vanishing points, it helps determine if all shadows correspond to a single, coherent light source. This method is based on principles of perspective and can be useful for analyzing both traditional manipulations and AI-generated images.")
         with gr.Row():
             img_in = gr.Image(label="Upload image and then click to add points", type="numpy", interactive=True, height=800)
             with gr.Column():