Restoration of Single Blur Image Using Blind Deconvolution Method
Ajita Bundela, Ankur Chourasiya, Uday Bhan Singh · International Journal of Engineering Trends and Technology · 2015
Abstract — Observed images of a scene are usually degraded by blurring due to atmospheric turbulence and inappropriate camera settings. The images are further degraded by the various noises present in the environment and the system. Therefore it is essential to get a sharp clean image from the noisy blurred image. In digital imaging, blurring is a bandwidth reduction of the image due to imperfect image construction process which gives poor image quality. Some blurring always arises in the recording of a digital image. Along with these blurring effects, noise always corrupts any recorded image. Reconstructing process is divided into two categories, first is nonblind in which the blurring function is given and the degradation process is inverted using one of the restoration algorithms and second blind where blurring operator is not known. Deconvolution using blind method is very complex process where image recovery is performed with little or no prior knowledge of the degrading PSF. The PSF represent the impulse response of a point source. In this paper Blind Deconvolution method has been implemented to deblur a single image. PSNR and MSE value has been calculated.