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Visual Quality Evaluation for Semantic Segmentation: Subjective Assessment Database and Objective Assessment Measure 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 12
作者:  Chen, Zhenzhong;  Zhu, Han
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05
Improved SSIM IQA of contrast distortion based on the contrast sensitivity characteristics of HVS 期刊论文
IET IMAGE PROCESSING, 2018, 卷号: 12, 页码: 872-879
作者:  Yao, Juncai;  Liu, Guizhong
收藏  |  浏览/下载：21/0  |  提交时间：2019/11/26
Criteria to evaluate the fidelity of image enhancement by MSRCR 期刊论文
IET Image Processing, 2018, 卷号: Vol.12 No.6, 页码: 880-887
作者:  Yuhong Liu;  Hongmei Yan;  Shaobing Gao;  Kaifu Yang
收藏  |  浏览/下载：19/0  |  提交时间：2019/02/25
Subjective and Objective Quality Assessment of Compressed Screen Content Images 期刊论文
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2016
Wang, Shiqi; Gu, Ke; Zhang, Xiang; Lin, Weisi; Zhang, Li; Ma, Siwei; Gao, Wen
收藏  |  浏览/下载：4/0  |  提交时间：2017/12/04
A balanced calibration of water quantity and quality by multi-objective optimization for integrated water system model SCI/SSCI论文
2016
作者:  Zhang Y. Y.;  Shao, Q. X.;  Taylor, J. A.;  Yu, GR;  Zhang, XY
收藏  |  浏览/下载：39/0  |  提交时间：2016/12/16
基于 L-GMSD 的图像通道检测技术 期刊论文
电子测量技术, 2016, 卷号: 39, 页码: 69-71
作者:  王琛;  何玉珠
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30
Binocular vision based objective quality assessment method for stereoscopic images 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 卷号: 74, 期号: 18, 页码: 8197-8218
作者:  Jiang, Gangyi;  Zhou, Junming;  Yu, Mei;  Zhang, Yun;  Shao, Feng
收藏  |  浏览/下载：16/0  |  提交时间：2019/12/13
Depth-Preserving Warping for Stereo Image Retargeting 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015
Li, Bing; Duan, Ling-Yu; Lin, Chia-Wen; Huang, Tiejun; Gao, Wen
收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03
基于语音质量估测模型的水声语音通信系统研究 学位论文
2014, 2014
张永秀
收藏  |  浏览/下载：2/0  |  提交时间：2016/01/12
Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
Wang Y.; Zhao X.; Mo X.; Wang Y.
收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25
Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.  

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