Low-Light Image Enhancement Method by Using a Modified Gamma Transform for Convex Combination Coefficients-Reference-Cited by-同舟云学术

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Low-Light Image Enhancement Method by Using a Modified Gamma Transform for Convex Combination Coefficients

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
language:
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Author:

Mukaida Mashiho¹,Ueda Yoshiaki²,Suetake Noriaki¹

Affiliation:

1. Yamaguchi University

2. Fukuoka University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897857.pdf?arnumber=9897857

Reference14 articles.

1. No-Reference Image Quality Assessment in the Spatial Domain

2. Making a “Completely Blind” Image Quality Analyzer

3. Blind image quality evaluation using perception based features

4. Asymmetric Kernel Regression

5. The affinity of HSV color model to the ostwald color system;tamagaki;Journal of the Japanese Society for the Science of Design,2007

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1. Self-Supervised Normalizing Flow for Jointing Low-Light Enhancement and Deblurring;Circuits, Systems, and Signal Processing;2024-05-31

2. Single Image Enhancement Using Gradient-Norm-Based Tone Curve for Images Captured in Wide-Dynamic-Range Scenes;IEEE Access;2024

3. Cartoon-texture guided network for low-light image enhancement;Digital Signal Processing;2024-01

4. Low-Light Image Enhancement Method Using a Modified Gamma Transform and Gamma Filtering-Based Histogram Specification for Convex Combination Coefficients;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-11-01

5. Enhancement of Low-Light Images Using Illumination Estimate and Local Steering Kernel;Applied Sciences;2023-10-17

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