An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/10242/32660/01529780.pdf?arnumber=1529780
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Blind Image Quality Assessment Based on the Use of Saliency Maps and a Multivariate Gaussian Distribution;Lecture Notes in Computer Science;2019
2. Blind image quality assessment based on Benford's law;IET Image Processing;2018-11
3. A No Reference Image Quality Assessment Metric Based on Visual Perception;Algorithms;2016-12-16
4. No-reference Image Quality Assessment Algorithm Based on Wavelet Energy and Texture Analysis;2016 8th International Conference on Computational Intelligence and Communication Networks (CICN);2016-12
5. A no reference quality metric to measure the blocking artefacts for video sequences;The Imaging Science Journal;2016-10-02
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