Image Restoration

Images:

The purpose of image restoration is to “compensate for” or “undo” defects which degrade an image. Degradation comes in many forms such as motion blur, noise, and camera misfocus. In cases like motion blur, it is possible to come up with an very good estimate of the actual blurring function and “undo” the blur to restore the original image. In cases where the image is corrupted by noise, the best we may hope to do is to compensate for the degradation it caused. In this project, we will introduce and implement several of the methods used in the image processing world to restore images.

Restoration:

A large number of restoration techniques will be used in this framework. They will help people to recover images of different kind. Also it is wise that people will select themselve the suitable restoration method:

• People interested in general information, will blur the image.
• People looking for getting clean images, will go for getting smooth images.
• People looking for getting clean images with clear borders, will smooth the images and maintain borders.
• People requiring details will enhance details.
• Deciders an consultants requiring direct on spot examples.Java in a browser presentations
• OO developer will fly with Tornado1.2, flexible restoration C++ classes completely freely.