Subjective Quality Assessment of Enhanced Retinal Images-Reference-Cited by-同舟云学术

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Subjective Quality Assessment of Enhanced Retinal Images

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
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Author:

Yue Guanghui¹,Zhang Shaoping¹,Li Yuan¹,Zhou Xiaoyan²,Zhou Tianwei³,Zhou Wei⁴

Affiliation:

1. Shenzhen University,Health Science Center,Shenzhen,China,518060

2. University of Hong Kong-Shenzhen Hospital,Shenzhen,China,518040

3. Shenzhen University,College of Management,Shenzhen,China,518060

4. University of Waterloo,Waterloo,Canada,N2L 3G1

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222541.pdf?arnumber=10222541

Reference30 articles.

1. Blind Quality Assessment of Tone-Mapped Images Considering Colorfulness, Naturalness, and Structure

2. No-Reference Quality Evaluator of Transparently Encrypted Images

3. Lime: Low-light image enhancement via illumination map estimation;guo;IEEE T Image Process,2017

4. Low light image enhancement based on non‐uniform illumination prior model

5. Final report from the video quality experts group on the validation of objective models of video quality assessment, phase ii;group;2003 VQEG,2003

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