New Image Quality Approach Based on Decision Fusion

被引：11
|
作者：
Liu, Mingna [1 ]
Yang, Xin [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/FSKD.2008.469
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image quality evaluation is becoming essential in many image processing problems. This paper proposes a new image quality evaluation approach based on decision fusion method of canonical correlation analysis (CCA). By exploring several diverse visual models, we constructed a comprehensive quality metric which can deal with complicated image distortion problem with increasing accuracy and robustness. Validation by comparing the proposed metric against other image quality metrics (IQMs) demonstrates that its fidelity prediction performs better across wide distortion range and types.
引用
收藏
页码：10 / 14
页数：5
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