ABSTRACT
Image restoration methods are used to improve the appearance of an image by application of a restoration process that uses a mathematical model for image degradation. The modeling of the degradation process differentiates restoration from enhancement where no such model is required. Examples of the types of degradation considered include blurring caused by motion or atmospheric disturbance, geometric distortion caused by imperfect lenses, superimposed interference patterns caused by mechanical systems, and noise from electronic sources. It is assumed that the degradation model is known or can be estimated. Image restoration is then applied by using the inverse degradation process model to restore the original image.
