基于块匹配的卷积神经网络图像去噪

Apr, 2017

基于块匹配的卷积神经网络图像去噪

Block-Matching Convolutional Neural Network for Image Denoising

Byeongyong Ahn, Nam Ik Cho

TL;DR本文提出了一种结合 NSS 先验和 CNN 的块匹配卷积神经网络（BMCNN）方法，该方法可以恢复重复和不规则结构的图像去噪，并在实验结果上达到了最先进的性能。

Abstract

There are two main streams in up-to-date image denoising algorithms: non-local self similarity (NSS) prior based methods and convolutional neural network (cnn) based methods. The NSS based methods are favorable o