Image-based restoration techniques

Image-based restoration techniques involve using computer algorithms to improve the quality of damaged or degraded images. These techniques can remove noise (unwanted distortions) and repair missing or corrupted parts of an image. Methods include digital inpainting, which fills in gaps based on surrounding pixels, and noise reduction algorithms that enhance clarity. By analyzing patterns and colors, these techniques help to restore old photos or improve the quality of images taken in challenging conditions, making them clearer and more visually appealing.