On combining visual perception and color structure based image quality assessment-Reference-Cited by-同舟云学术

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On combining visual perception and color structure based image quality assessment

Published:2016-11 Issue: Volume:212 Page:128-134
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lu Wen,Xu Tianjiao,Ren Yuling,He Lihuo

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Program for New Scientific and Technological Star of Shaanxi Province

Project Funded by China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference32 articles.

1. Modern Image Quality Assessment;Wang,2006

2. Subjective image quality assessment based on objective image quality measurement factors;Park;IEEE Trans. Consum. Electron.,2011

3. A. Hore, D. Ziou, Image quality metrics: PSNR vs. SSIM, in: 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010, pp. 2366–2369.

4. N. Ponomarenko, V. Lukin, K. Egiazarian, HVS-metric-based performance analysis of image denoising algorithms, in: 3rd European Workshop on IEEE Visual Information Processing, 2011, pp. 156–161.

5. M. Zeng, Y. Li, Q. Meng, X. Qiu, Integrating perceptual properties of the HVS into the computational model of visual attention, in: 2nd International Congress on Image and Signal Processing, 2009, pp. 1–4.

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