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Runlength-Based Processing Methods for Low Bit-depth Images

机译:低位深度图像的基于游程的处理方法

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Many low bit-depth images are compactly expressed in terms of runlength-based representations. This paper discusses methods for processing such images directly in runlength-represented form and how this can improve processing times for image processing operations. The primary focus in the analysis is on image compression operations, but an explanation of the overall scheme for runlength-based processing is also presented. Tradeoffs between processing times and compression ratio for runlength-based image compression algorithms are discussed. Sketches of runlength-based compression algorithms for some widely used image standards are given, and the algorithms are compared with raster-based counterparts. Important design features needed in implementations of runlength-based image processing are discussed. The main application areas of runlength-based image processing are also explained.
机译:许多低位深度图像以基于游程的表示形式紧凑地表达。本文讨论了以游程长度表示形式直接处理此类图像的方法,以及如何改善图像处理操作的处理时间。分析的主要重点是图像压缩操作,但也介绍了基于游程的处理的总体方案。讨论了基于行程长度的图像压缩算法在处理时间和压缩率之间的权衡。给出了一些广泛使用的图像标准的基于游程长度的压缩算法的草图,并将其与基于栅格的压缩算法进行了比较。讨论了基于游程的图像处理的实现中所需的重要设计特征。还说明了基于游程的图像处理的主要应用领域。

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