Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography

Author:

Cao Yue1,Liu Ming1,Liu Shuai1,Wang Xiaotao1,Lei Lei1,Zuo Wangmeng1

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology,China

Publisher

IEEE

Reference33 articles.

1. Improved training of wasserstein gans;gulrajani;Advances in neural information processing systems,2017

2. A Comprehensive Tool for Modeling CMOS Image-Sensor-Noise Performance

3. CCD Charge Collection Efficiency And The Photon Transfer Technique

4. Design of a cmos image sensor with a 10-bit two-step single-slope a/d converter and a hybrid correlated double sampling;hwang;2014 10th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME),0

5. Physics-based noise modeling for extreme low-light photography;wei;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021

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2. A Novel Self-Adaptive Deformable Convolution-Based U-Net for Low-Light Image Denoising;Symmetry;2024-05-23

3. Visual perception and understanding in degraded scenarios;Journal of Image and Graphics;2024

4. Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Near-light Photometric Stereo with Symmetric Lights;2023 IEEE International Conference on Computational Photography (ICCP);2023-07-28

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