Parallel JPEG algorithms for still image compression

P. Monnes, B. Furht
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引用次数: 6

Abstract

One of the hottest areas of development in the computer industry today is motion video on the desktop. Both motion video and still image video pose some new problems: huge storage and high bandwidths are required to send, view or store video data in a timely fashion. Compression techniques may help to reduce the amount of data by trading processing power for reduced data size. For both video compression and decompression, very large amounts of processing power are required to handle the video data quickly enough. Parallel processing is being used in some cases to solve this need for processing power. This paper explores some of the parallel processing techniques currently being used, and some additional possibilities for parallelization. It focuses primarily on JPEG (Joint Photographic Experts Group) techniques, but many of the concepts are applicable to other compression schemes. Results from a simple PC-based JPEG compression/decompression program are used to explore some of the techniques.<>
用于静态图像压缩的并行JPEG算法
当今计算机行业最热门的发展领域之一是在桌面上播放动态视频。动态视频和静止图像视频都提出了一些新问题:需要大容量和高带宽才能及时发送、查看或存储视频数据。压缩技术可以通过交换处理能力来减少数据大小,从而帮助减少数据量。对于视频压缩和解压缩,都需要非常大的处理能力来足够快地处理视频数据。在某些情况下,并行处理被用来解决这种对处理能力的需求。本文探讨了目前正在使用的一些并行处理技术,以及并行化的一些其他可能性。它主要关注JPEG(联合摄影专家组)技术,但许多概念也适用于其他压缩方案。从一个简单的基于pc的JPEG压缩/解压缩程序的结果被用来探索一些技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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