Image Restoration is the process of recovering the quality and visual details of damaged, degraded, or incomplete images. It aims to reconstruct information that may have been lost because of scratches, blur, noise, fading, missing pixels, compression, or poor image capture. Restoration techniques can use mathematical models, image-processing algorithms, and artificial intelligence to estimate missing details and produce a clearer, more natural-looking result.
Image Restoration is commonly used for preserving historical photographs, repairing damaged digital media, improving medical images, recovering surveillance footage, and restoring old films. Its purpose is to make degraded visual content usable while retaining its original characteristics. AI-based restoration can automatically remove imperfections, reconstruct missing areas, sharpen blurred details, and correct faded colors. This helps preserve valuable visual records and improves the usefulness of images for research, documentation, analysis, and personal archives.
