Implementation of Deblurring Images Using Blind Deconvolution Technique

In Imaging science, Image processing is any form of signal processing for which the input is an image and the output may be either an image or set of characteristics or parameters related to the image. Sometimes, the images may be corrupted. Such degradations may be either due to motion blur, noise or camera misfocus. So, a classical research area called Image Restoration came into existence. This refers to the operation of taking a corrupted image and estimating a clean original image by removing distortions. Some of the methods involved are usage of Inverse filters, Weiner filters, Iterative filters and Blind Deconvolution. The technique being implemented here is Blind Deconvolution. The algorithm involved in this technique is Evolutionary algorithm. This research area is applied for medical images. New applications include HD/3D displays, mobile and portable devices which are promoting research area in this aspect.