Image restoration techniques utilize a variety of methods to rejuvenate the quality of degraded or damaged images. These techniques often demand complex algorithms that interpret the image data to identify areas of damage and then implement appropriate corrections. Common techniques include noise reduction, deblurring, and super-resolution. Noise r