Iterative-scheme Inspired Network for Impulse Noise Removal
This is a demo Code based on the method described in the following paper:
Iterative-scheme Inspired Network for Impulse Noise Removal, Journal of Pattern Analysis and Applications, 2018.
Author: M. Zhang, Y. Liu, G. Li, B. Qin, Q. Liu.
Date : 11/2018
Version : 1.0
The code and the algorithm are for non-comercial use only.
Copyright 2018, Department of Electronic Information Engineering, Nanchang University.
IIN - Impulse Noise Removal
The PSNR (dB) results of L1TV, L1L1-DCT, DL-INR and IIN with p = 20%, 30%, 40%, 50%. Red color indicates the best performance and blue color indicates the second.
A visual restoration comparison from noised image of p = 30%. (a) Reference image, (b) Degraded image, (c-f) denoised results of L1-TV, L1L1-DCT, DL-INR and IIN.