New image denoising algorithm via improved deep convolutional neural network with perceptive loss

作者：

Highlights：

• We constructed active residual convolutional neural network for image denoising.

• We proposed feature extraction framework using adaptive convolution and residual learning.

• We proposed new image denoising algorithm using joint loss function.

摘要

•We constructed active residual convolutional neural network for image denoising.•We proposed feature extraction framework using adaptive convolution and residual learning.•We proposed new image denoising algorithm using joint loss function.

论文关键词：Deep convolutional neural networks,Image denoising,Adaptive convolution,Residual learning,Perceptive loss

论文评审过程：Received 11 August 2018, Revised 13 June 2019, Accepted 13 July 2019, Available online 14 July 2019, Version of Record 19 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.07.032