一种改进的盲/无参考图像空间质量评价算法

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xuesong Li, Jinfeng Pan, Mingliang Gao, Alireza Souri, Jianrun Shang
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引用次数: 2

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved blind/referenceless image spatial quality evaluator algorithm for image quality assessment
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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