Image Restoration Based on Unsymmetric Fuzzy Switched Steering Kernel

The Digital image restoration is one of the image processing techniques that deals with the methods used to recover an original image from a degraded image. The proposed work is done for high density impulse noise which is affected by gaussian blur and is solved by using fuzzy filtering techniques for denoising and a Noise Suppressed Steering Kernel for deblurring which is a hybrid method. In the previous work the outputs suffering with spurious edges in the case of denoising. The above disadvantages of the steering kernel are overcome by using median filters. The presence of spurious edges on iterative process gets added up and becomes stronger if not removed. Hence it can be eliminated by using median filters at the end of the each iteration, since this method is an iterative process. A noise suppressed steering kernel NSSK is used in the proposed method.