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Image Restoration Concepts
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Shadow Removal
Shadow Removal includes techniques to detect and eliminate shadows from images, which can improve visibility and aesthetics in various scenes.
Color Restoration
Color Restoration techniques focus on restoring the original colors of faded or discolored images, often used in reviving old photographs.
Edge Enhancement
Edge Enhancement sharpens image edges and improves their visibility, which is important for image analysis and object detection.
Chromatic Aberration Correction
Chromatic Aberration Correction is used to fix color fringing or distortions that occur due to lens dispersion, enhancing overall image quality.
Inpainting
Inpainting refers to the process of reconstructing lost or deteriorated parts of images. It's often used to restore old photographs or damaged artwork.
Denoising
Denoising techniques reduce noise from images, which may occur due to sensor imperfections, low light conditions, or high ISO settings in cameras.
Super-Resolution
Super-Resolution is the process of upscaling and improving the resolution of an image using algorithms. It enhances detail and sharpness.
HDR Reconstruction
HDR Reconstruction merges multiple photographs with different exposure settings into a single image with a greater dynamic range.
Texture Synthesis
Texture Synthesis creates larger textures from small samples, often used in CG imagery, game development, and in filling missing parts of images.
Image Decomposition
Image Decomposition separates an image into components or layers to analyze or process them independently, such as separating textures from structure.
Deblurring
Deblurring removes blurs that result from camera shake, focus errors, or motion. It is a critical step in improving image quality for various applications.
Reflection Removal
Reflection Removal involves algorithms designed to identify and eliminate reflections from images, which is helpful in improving image clarity.
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