Image Restoration and Enhancement Using Unified Blind Method
Seema Singh, Vivek Singh, Mohit Kapoor, Raju Nandi, Arup Dash · IOSR Journal of Electronics and Communication Engineering · 2014
Images play a vital role in our day to day life therefore the quality and the information contained in an image is very important to be preserved for various process used in different applications such as military, medical science, astronomy etc.But while capturing an image, the degradation of an image such as blurring effect, noise, aliasing etc. takes place due to various environmental effects.This paper focuses on removing the degradation effects using the Unified Blind Method involving Multi Image Super Resolution and Multi/Single image blur de-convolution techniques.The approach makes use of alternating minimization (AM) procedure of a new cost function with respect to the unknown High Resolution (HR) image and Blur.The regularization term for the HR image is based upon the Huber Markov Random Field model (HMRF).The Blur estimation process makes use of the edge detection process, which improves the quality of blur estimate.For better estimation Fast Fourier Transform (FFT) is used to get the image in frequency domain.The regularization term for the blur is Gaussian (L2 Norm).The processing time of reconstruction using SR method is reduced by separating the interpolation process from registration process.The Unified Blind Method is tested on images and the efficiency of the method is verified.