Contrast Preserving Grayscale Method Based on Pseudo-Huber Loss-Reference-Cited by-同舟云学术

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Contrast Preserving Grayscale Method Based on Pseudo-Huber Loss

Published:2024-05-10 Issue: Volume: Page:814-819
ISSN:
Container-title:2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)
language:
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Author:

Huang Xiaojun¹,Qiu Leiningxin¹,Zeng Tao¹,Zhu Zhiliang¹

Affiliation:

1. School of Software, East China Jiaotong University,Nanchang,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Key Research and Development Program of Jiangxi Province

Jiangxi Province University Humanities and Social Sciences Research Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10652598/10652600/10653366.pdf?arnumber=10653366

Reference15 articles.

1. No-Reference Quality Metrics for Image Decolorization

2. A multi-tasking novel variational model for image decolorization and denoising

3. Deterministic edge-preserving regularization in computed imaging

4. Contrast preserving decolorization

5. Quaternion Chromaticity Contrast Preserving Decolorization Method Based on Adaptive Singular Value Weighting

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