Image deblurring aims to reconstruct a high quality image from a degraded image. For deblurring, the blurring function which causes the degradation is estimated first. A template based blur estimation method is presented here which can identify Gaussian and Uniform blur. Due to the ill-posed nature of image restoration (IR) process, prior knowledge of natural images is used to regularize the IR problem. The Bayesian approach provides the means to incorporate prior knowledge in data analysis. A comparative analysis using various priors was studied qualitatively. PSNR, SNR, SSIM and IQI are the performance measures used.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.