A MODIFIED STRUCTURAL SIMILARITY INDEX WITH LOW COMPUTATIONAL COMPLEXITY

被引：0
|
作者：
Loh, Woei-Tan [1 ]
Bong, David Boon Liang [1 ]
机构：
[1] Univ Malaysia Sarawak, Fac Engn, Kota Samrahan, Malaysia
来源：
2019 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS) | 2019年
关键词：
image quality; computational complexity; SSIM; BLUR ASSESSMENT; IMAGE;
D O I：
10.1109/ispacs48206.2019.8986321
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Structural Similarity Index (SSIM) has been a benchmark method for image quality assessment (IQA). This is due to its simplicity and good performance. In this paper, we propose a modified SSIM method that reduces the computational complexity with comparable performance. Instead of computing similarities on local windows, the proposed method computes global information similarities. The proposed method omits the luminance part similarities in SSIM due to its less crucial role in assessing image quality. From the presented results, the proposed method has a much lower computational time and comparable performance compared to SSIM.
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页数：2
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