周期利用压缩方法的快速峰值自相关发现

C. Constantinescu, R. Arps
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引用次数: 0

摘要

只提供摘要形式。像JBIG, JBIG2-Generic和PRECIS这样的双层图像压缩算法可以利用像“数字半色调”这样的二进制图像中的1D或2D峰值自相关,以实现额外压缩的突破性提升。对于难以压缩的周期性半调,可以将压缩比提高三倍或更多倍,并且可以实现类似的解压速度提高(与最接近的非周期性利用算法(例如,AT>0的JBIG或JBIG2-Generic与AT= 0的JBIG2-Generic相比,或PRECIS与s. MMR相比))。我们的峰值自相关发现方法隔离了峰值压缩所需的周期,比现有技术快两个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast peak autocorrelation finding for periodicity-exploiting compression methods
Summary form only given. Bilevel image compression algorithms like JBIG, JBIG2-Generic, and PRECIS can exploit 1D or 2D peak autocorrelation in binary images like 'digital halftones', in order to achieve breakthrough boosts in additional compression. For hard to compress, but periodic halftones, boosts of factors of three or more times the compression ratios and similar increases in decompression speeds can be achieved (boosts defined v.s. the closest related, non-periodicity-exploiting algorithm (e.g. JBIG or JBIG2-Generic with AT>0 v.s. with AT=O, or PRECIS v.s. MMR)). Our peak autocorrelation finding method isolates the needed period for peak compression, two orders-of-magnitude faster than the prior art.
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