实验在简单的一维有损图像压缩方案

Joseph Modayil, Howard Cheng, Xiaobo Li
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引用次数: 9

摘要

本文研究了一些一维有损图像压缩方案。为了执行一维压缩,将图像扫描成一维数组,然后对其进行压缩。三种类型的扫描被考虑:光栅扫描,希尔伯特扫描和二进制扫描。发现希尔伯特扫描和二进制扫描优于光栅扫描。考虑的压缩方法是整数小波变换,Walach和Karnin(1986)引入的带触发器的分段逼近(PAT)过程,以及改进的PAT算法(MPAT)。在压缩方面,小波优于MPAT,而MPAT又优于PAT;然而,MPAT和PAT在计算上比小波变换简单得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experiments in simple one-dimensional lossy image compression schemes
The paper examines some one-dimensional lossy image compression schemes. To perform one-dimensional compression, an image is scanned into a one-dimensional array which is then compressed. Three types of scanning are considered: raster scan, Hilbert scan, and binary scan. Hilbert and binary scan are found to outperform raster scan. The methods considered for compression are integer wavelet transforms, a piecewise approximation with triggers (PAT) procedure introduced by Walach and Karnin (1986), and a modified PAT algorithm (MPAT). Wavelets outperform MPAT in compression, and MPAT in turn outperforms PAT; however, MPAT and PAT are computationally far simpler than wavelet transforms.
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