Abstract
Subjective quality measures based on Human Visual System for images do not agree well with well-known metrics such as Mean Squared Error and Peak Signal to Noise Ratio. Recently, Structural Similarity Measure (SSIM) has received acclaim due to its ability to produce results on a par with Human Visual System. However, experimental results indicate that noise and blur seriously degrade the performance of the SSIM metric. Furthermore, despite SSIM's popularity, it does not provide adequate insight into how it handles 'structural similarity' of images. We propose a structural similarity measure based on approximation level of a given Discrete Wavelet Decomposition that evaluates moment invariants to capture the structural similarity with superior results over SSIM.
Original language | English |
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Title of host publication | Emerging Intelligent Computing Technology and Applications |
Subtitle of host publication | 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012, Proceedings |
Editors | De-Shuang Huang, Phalguni Gupta, Xiang Zhang, Prashan Premaratne |
Place of Publication | Heidelberg [Germany] |
Publisher | Springer |
Pages | 292-297 |
Number of pages | 6 |
ISBN (Electronic) | 9783642318375 |
ISBN (Print) | 9783642318368 |
Publication status | Published - 2012 |
Event | International Conference on Intelligent Computing 2012 - Huangshan, China Duration: 25 Jul 2012 → 29 Jul 2012 Conference number: 8th https://link.springer.com/book/10.1007/978-3-642-31837-5 (proceedings) |
Publication series
Name | Communications in Computer and Information Science |
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Publisher | Springer |
Volume | 304 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | International Conference on Intelligent Computing 2012 |
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Abbreviated title | ICIC 2012 |
Country/Territory | China |
City | Huangshan |
Period | 25/07/12 → 29/07/12 |
Other | Host Publication title = Emerging Intelligent Computing Technology and Applications |
Internet address |
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