A Survey on Various Image Deblurring Techniques

Abstract: Image blur is difficult to avoid in many situations and can often ruin a photograph. Image deblurring and restoration is necessary in digital image processing. Image deblurring is a process, which is used to make pictures sharp and useful by using mathematical model. Image deblurring have wide applications from consumer photography, e.g., remove motion blur due to camera shake, to radar imaging and tomography, e.g., remove the effect of imaging system response. There have been many methods that were proposed in this regard and in this paper we will examine different methods and techniques of deblurring. The analysis is done on the basis of performance, types of blur and PSNR (Peak Signal to Noise Ratio).

Keywords: Blur type, degradation model, image deblurring, motion blur, point spread function (PSF), peak signal to noise (PSNR).