一种使用通用豌豆模式掩模树的无损图像压缩技术

M.K. Hossain, S.M. Imam, K. Hasan, W. Perrizo
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引用次数: 11

摘要

数字图像处理在我们的日常生活中已经无处不在,人们对图像的产生和处理的要求也越来越高。存储这些图像需要大量的空间。图像压缩技术的需求量很大,因为它们可以减少存储空间。与大多数其他压缩技术一样,图像压缩的基础是去除冗余和不重要的数据。无损图像压缩技术以紧凑的形式保留原始信息,并且在解压缩时不会引入任何错误。在本文中,我们使用一种我们称为ldquogeneric Peano模式掩码树的数据结构来讨论这种无损技术。它是对先前讨论的无损图像压缩技术的改进- ldquopopano模式掩码树。这两种结构都是基于Peano掩码树的数据结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A lossless image compression technique using generic peano pattern mask tree
Digital image processing has become ubiquitous in our daily life and the demands to produce and process images are ever increasing. Large amounts of space are required to store these images. Image compression techniques are in high demand as they allow reduction in this storage space. The basis for image compression, as is for most other compression techniques, is to remove redundant and unimportant data. Lossless image compression techniques retain the original information in compact form and do not introduce any errors when decompressed. In this paper, we discuss such a lossless technique using a data structure that we name ldquogeneric Peano pattern mask treerdquo. It is an improvement over a previously discussed Lossless Image compression technique - ldquoPeano pattern mask treerdquo. Both these structures are based on the data structure - Peano mask tree.
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