文章基本信息

标题：Image Sharpness Metric Based on Algebraic Multi-grid Method
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作者：Qian Ying ; Ren Xue-mei ; Huang Ying 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2014
卷号：5
期号：4
DOI：10.14569/IJACSA.2014.050425
出版社：Science and Information Society (SAI)
摘要：In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the original image by Algebraic Multi-grid (AMG), then compute the Mean Square Error between original image and reconstructed image, the result represents image sharpness. Experiments show that the proposed sharpness metric has better practicability and monotonicity, correlates well with the perceived sharpness. The algorithm has superiority in image sharpness metric.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; image sharpness mean square error; algebraic multigrid method; sharpness metric; image reconstruction