Restoration of blur & noisy images using hybrid kernel-padding algorithm with transformation technique
Rohina Ansari, Himanshu Yadav, Anurag Kumar Jain · 2013
Digital world is a dire need of the current scenario. Now these days equipments take the digital snapshots which may be blur due to bad focus of camera, relative motion between camera and scene to be capture etc. This is an extensive problem to restore this sort of images. This paper proposed a hybrid methodology to recover these images in order to improve the quality. This work uses the basic concept of kernel and padding. This work also applies the Haar wavelet Transform for filtering the image in order to reconstruct image which have the noise and blur. The results of this paper show that the proposed method gives the better result from the previous methods. It seems to be that the PSNR, Mean Square Rate and execution time is better in the proposed scheme.