Learnability Enhancement for Low-light Raw Denoising

Author:

Feng Hansen1,Wang Lizhi1,Wang Yuzhi2,Huang Hua3

Affiliation:

1. Beijing Institute of Technology, Beijing, China

2. Megvii Technology, Beijing, China

3. Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference46 articles.

1. Abdelrahman Abdelhamed , Stephen Lin , and Michael S. Brown . 2018. A High-Quality Denoising Dataset for Smartphone Cameras . In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1692--1700 . Abdelrahman Abdelhamed, Stephen Lin, and Michael S. Brown. 2018. A High-Quality Denoising Dataset for Smartphone Cameras. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1692--1700.

2. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

3. Tim Brooks , Ben Mildenhall , Tianfan Xue , Jiawen Chen , Dillon Sharlet , and Jonathan T. Barron . 2019 . Unprocessing Images for Learned Raw Denoising. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11036--11045 . Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, and Jonathan T. Barron. 2019. Unprocessing Images for Learned Raw Denoising. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11036--11045.

4. A Non-Local Algorithm for Image Denoising

5. Projection-based image registration in the presence of fixed-pattern noise

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