A BP neural network model for image restoration based on area around pixel and edge information

This paper presents a new BPNN model for image restoration by using area information around center pixel from degraded image and its edge image. This method gains edge image of blurred image by Sobel operator, and then uses BPNN model to build nonlinear restoration mapping relation by area pixel information from original and edge image. The edge information is extracted as a priori knowledge to recover the details and reduce the ringing artifact. Experimental results show that our proposed method could get more satisfying results than previous BPNN methods.