Deep noise estimation and removal for real-world noisy images

作者：

Highlights：

• Propose an end-to-end noise estimation and removal network.

• The noise estimation network utilizes Bayer pattern prior of noise maps.

• Propose a block to utilize the spatial and channel correlations of realistic noise.

摘要

•Propose an end-to-end noise estimation and removal network.•The noise estimation network utilizes Bayer pattern prior of noise maps.•Propose a block to utilize the spatial and channel correlations of realistic noise.

论文关键词：Noise estimation,Noise removal,Realistic noise,Bayer pattern

论文评审过程：Received 2 June 2020, Revised 9 January 2021, Accepted 4 March 2021, Available online 10 March 2021, Version of Record 16 March 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116231