Image Deblurring in Presence of Gaussian and Impulsive Noise

Abstract

Image restoration is an essential and unavoidable preprocessing operation for many security applications like biometric security, video surveillance, object tracking, image data communication etc. Images are generally degraded due to faulty sensor, channel transmission error, camera mis-focus, atmospheric turbulence, relative motion between camera and object etc. Such conditions are inevitable while capturing a scene through camera. Restoration of such images is highly essential for further image processing and other tasks. The work in this thesis has been submitted to a journal and is under review. The complete thesis shall be published once the review process ends.