Towards General Low-Light Raw Noise Synthesis and Modeling-Reference-Cited by-同舟云学术

Towards General Low-Light Raw Noise Synthesis and Modeling

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zhang Feng¹,Xu Bin²,Li Zhiqiang¹,Liu Xinran¹,Lu Qingbo²,Gao Changxin¹,Sang Nong¹

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,National Key Laboratory of Multispectral Information Intelligent Processing Technology

2. DJI Technology Co., Ltd

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377173.pdf?arnumber=10377173

Reference58 articles.

1. Noise Flow: Noise Modeling With Conditional Normalizing Flows

2. A High-Quality Denoising Dataset for Smartphone Cameras

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

4. A model for dark current characterization and simulation

5. A statistical model of flicker noise

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