CORC

在结果中检索

CORC

浏览/检索结果: 共21条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
No-reference Image Quality Assessment with Reinforcement Recursive List-wise Ranking 会议论文
美国夏威夷, 2019.01.27-2019.02.01
作者:  Jie, Gu;  Gaofeng, Meng;  Cheng, Da;  Shiming, Xiang;  Chunhong, Pan
收藏  |  浏览/下载：83/0  |  提交时间：2019/05/15
No-reference stereo image quality assessment by learning gradient dictionary-based color visual characteristics 会议论文
2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018-01-01
作者:  Yang, Jialu[1];  An, Ping[2];  Ma, Jian[3];  Li, Kai[4];  Shen, Liquan[5]
收藏  |  浏览/下载：13/0  |  提交时间：2019/04/22
Learning Deep Vector Regression Model for No-reference Image Quality Assessment 会议论文
New Orleans, USA, March 5-9, 2017
作者:  Jie, Gu;  Gaofeng, Meng;  Lingfeng, Wang;  Chunhong, Pan
收藏  |  浏览/下载：9/0  |  提交时间：2017/09/15
No-Reference Image Quality Assessment for Defocus Restoration 会议论文
1st International Conference on Multimedia and Image Processing, ICMIP 2016, Bandar Seri Begawan, Brunei, June 1-3, 2016
作者:  Zhang CS(张程硕);  Shi ZL(史泽林);  Xu BS(徐保树);  Feng B(冯斌)
收藏  |  浏览/下载：26/0  |  提交时间：2016/11/06
No-reference image quality assessment for zy3 imagery in urban areas using statistical model 会议论文
作者:  Zhang, Y.;  Cui, W.H.;  Yang, F.;  Wu, Z.C.
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05
NO-REFERENCE IMAGE QUALITY ASSESSMENT FOR ZY3 IMAGERY IN URBAN AREAS USING STATISTICAL MODEL 会议论文
作者:  Zhang, Y.;  Cui, W. H.;  Yang, F.;  Wu, Z. C.
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/05
Multi-Task Rank Learning for Image Quality Assessment 会议论文
ICASSP2015, Brisbane, Australia
作者:  Long Xu;  Jia Li;  Weisi Lin;  Yongbing Zhang;  Lin Ma
收藏  |  浏览/下载：14/0  |  提交时间：2016/01/27
A learning classes-based no-reference image quality assessment algorithm using natural scenes statistics 会议论文
8th International Conference on Image and Graphics, ICIG 2015, 2015-08-13
作者:  Abdi, Moad El[1];  Han, Zhenqi[2]
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/30
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  Fan XP(范晓鹏);  Cai TF(蔡铁峰);  Zhu F(朱枫)
收藏  |  浏览/下载：22/0  |  提交时间：2013/12/26
The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.  
SPCA: A No-reference Image Quality Assessment based on the Statistic Property of the PCA on Nature Images 会议论文
作者:  Zhang, Yun;  Wang, Chao;  Mou, Xuanqin
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/10

©版权所有 ©2017 CSpace - Powered by CSpace