Blind and Non- blind Image Restoration Techniques
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Abstract
With the popularity of digital cameras, digital image processing is getting more and more important. One of the most common problems in digital photographing is motion blur. When taking a photograph, the shaking of camera is the reason causing blurred image. Images may be degraded for many reasons. Reducing the blur and the noises in images is known as image restoration. The survey involves restoring the blurred/degraded images using Blind Deconvolution algorithm, Lucy Richardson Algorithm, Weiner Filtering Image restoration Algorithm and Regularized Filtering Image Restoration Algorithm. The fundamental task of Image deblurring is to de-convolute the degraded image with the PSF that exactly describes the distortion. BID uses less information of the point spread function (PSF) to restore the degraded image. During the restoration of the degraded image, the first step is to identify the proper PSF model. The degraded image does not uniquely define the PSF. Nevertheless there are many applications where the degraded images have been blurred either by an unknown or a partially known PSF.
Keywords: Motion blur, Deconvolution, Point Spread Function, Degradation Model, Image restoration algorithms
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