Research on the parallelization of image quality analysis algorithm based on deep learning-Reference-Cited by-同舟云学术

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Research on the parallelization of image quality analysis algorithm based on deep learning

Published:2020-08 Issue: Volume:71 Page:102709
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Huang Jui-Chan,Huang Hao-Chen,Liu Hsin-Hung

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference40 articles.

1. Quality evaluation of non-reference color images combined with local features;Liu;Opt. Precision Eng.,2016

2. A no-reference image quality assessment based on distribution characteristics of natural statistics;Chen;J. Electron. Inf. Technol.,2016

3. No-reference image quality assessment based on scale invariance;Zhao;J. Comput. Appl.,2016

4. Full-reference image quality assessment based on edge similarity;Wen;Meas. Control Technol.,2017

5. Feature similarity image quality assessment on the basis of human visual system;Sun;J. South China Univ. Technol. (Nat. Sci. Ed.),2017

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