Fast Implementation of Image Structural Similarity Algorithm

Autor:	Ying Fanga, Weimeng Li, Yiwen Xu, Zhongwen Zhuang
Rok vydání:	2019
Předmět:	business.industry Computer science Structural similarity Pattern recognition Artificial intelligence business Image (mathematics)
Zdroj:	IOP Conference Series: Materials Science and Engineering. 533:012057
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/533/1/012057
Popis:	The traditional Structural SIMilarity (SSIM) index has higher computation complexity compared with Peak-Signal-to-Noise-Ratio (PSNR). In order to solve this problem, we propose a two-stage optimization algorithm to reduce the computation complexity of SSIM. First, floating-point operations in the calculation process of SSIM are converted to fixed-point ones. Then, the repeated calculation rule of the iteration operation in SSIM is analyzed and the repeated operations are subsequently removed via modifying SSIM calculation method. Experiment results show that, in comparison with the original SSIM algorithm, the proposed algorithm obtains 24.12% of computation time reduction with negligible accuracy decrease.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3f52af888846d3e8cfd57e482bedf359 https://doi.org/10.1088/1757-899x/533/1/012057 Zobrazit plný text záznamu