Edge-preserved neural network model for image restoration

摘要

This paper presents a combined approach for image res- toration with edge-preserving regularization, subband coding, and artificial neural network. The edge information is detected from the source image as a priori knowledge to recover the details and re- duce the ringing artifact of the subband coded image. The multilayer perceptron model is employed to implement the restoration of im- ages.