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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
Semantic segmentation
visual quality evaluation
quality evaluation
subjective assessment
objective assessment
convolutional neural network
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
Spearman rank order correlation coefficient
redundancy
CSIQ databases
Pearson linear correlation coefficient
structural similarity index metric
human visual system
contrast-distorted images
real image visual redundancy elimination
HVS contrast sensitivity characteristics
objective image quality assessment
TID2013 databases
image processing
SSIM IQA
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
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  |  
浏览/下载:19/0
  |  
提交时间:2019/02/25
image enhancement
rendering (computer graphics)
entropy
image colour analysis
image restoration
MSRCR
image enhancement algorithm
objective image quality assessment method
IQA method
image fidelity assessment framework
information entropy fidelity
constituent fidelity
colour fidelity
LIVE
multiscale Retinex with colour restoration
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
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  |  
浏览/下载:4/0
  |  
提交时间:2017/12/04
Compressed screen content images
objective quality assessment
reduced-reference
subjective quality assessment
STRUCTURAL SIMILARITY
DIVISIVE NORMALIZATION
NATURAL IMAGES
DCT DOMAIN
REPRESENTATION
STATISTICS
MODEL
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
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  |  
浏览/下载:44/0
  |  
提交时间:2016/12/16
Water quantity and quality
Multi-process calibration
Pareto optima
front
Integrated water system model
evolutionary algorithms
automatic calibration
genetic algorithm
hydrologic-models
sensitivity-analysis
catchment models
uncertainty
assessment
objective calibration
parameter-estimation
multiple
objectives
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
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
图像通道 客观图像质量评价 梯度 L-GM SD image channel objective image quality assessment gradient L-GMSD
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
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  |  
浏览/下载:18/0
  |  
提交时间:2019/12/13
Stereoscopic image
Objective quality assessment
Human visual system
Binocular fusion
Binocular suppression
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
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  |  
浏览/下载:6/0
  |  
提交时间:2017/12/03
Stereo image retargeting
image warping
optimization
depth preservation
OBJECTIVE QUALITY ASSESSMENT
INFORMATION
3D
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
语音通信质量估测
水声信道特性
参数提取
PESQ
E Model
Objective assessment model of voice quality
Characteristics of Underwater Acoustic Channel
Parameter extraction
PESQ
E Model
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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