Blurred Image Restoration Using Canny Edge Detection and Blind Deconvolution Algorithm

Restoring the original image from blurred or degraded image due to motion blur, noise or camera misfocus has long been a challenging problem in digital imaging. Image restoration is thus a process of recovering the actual image from the degraded image. The purpose of the paper is to restore the blurred/degraded images using blind deconvolution algorithm with canny edge detector. The task of image deblurring is to deconvolute the degraded image with the point spread function (PSF) that describes the distortion. Firstly the original image is degraded using degradation model. It can be done by low pass filters like Gaussian filter or others to blur an image. The ringing effect at the edges of blurred image can be detected using Canny Edge Detection method. Blind deconvolution algorithm is applied to the blurred image where image recovery is performed with little or no prior knowledge of the degrading PSF. Also the penalized maximum likelihood Estimation Technique is used with blind deconvolution algorithm.