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• W1978170160 endingPage "1977" @default.
• W1978170160 startingPage "1972" @default.
• W1978170160 abstract "In this paper, we introduce the accelerated image compression method to reduce memory and bandwidth cost by factoring repeated content within images. Since the compression procedure costs much time to search for the similar regions, we adopt the feature descriptor Gray Split Rotate (GSR) to accelerate the self-similarity computation. The self-similarity computation is partly transformed into the comparison of the distances between feature descriptors. And we find that the computations of GSR distances of each feature descriptors are independent with each other. By the use of GPU parallel computing power, we filter out a huge amount of unmatched candidates. In our experiments we improve the speed of the compression process by one order of magnitude and meanwhile still preserve the quality of the compressed image by reducing unnecessary candidates." @default.
• W1978170160 created "2016-06-24" @default.
• W1978170160 creator A5046220964 @default.
• W1978170160 creator A5053970421 @default.
• W1978170160 date "2013-09-01" @default.
• W1978170160 modified "2023-10-15" @default.
• W1978170160 title "Accelerated Compression Algorithm Based on Factoring Repeated Content" @default.
• W1978170160 cites W1677409904 @default.
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• W1978170160 doi "https://doi.org/10.4028/www.scientific.net/amr.760-762.1972" @default.
• W1978170160 hasPublicationYear "2013" @default.
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