通过编码技术和冗余变换的耦合改进压缩

A. Poussard, C. Olivier, J. H. Wu, C. Chatellier
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引用次数: 1

摘要

图像编码中常用的技术(JPEG、MPEG等)的主要目标是尽可能多地压缩,同时保留大部分信息。这些方法通常基于离散余弦变换(DCT)和小波变换(WT)的使用。我们的目的是考虑必要的冗余,以便在比特传输严重中断的情况下实现良好的接收。然而,在最优压缩和所需的冗余之间存在矛盾。因此,有必要尽可能地掌握和压缩要传输的信息,并承受传输信道上的噪声。本文对这一难题作出了贡献:其独创性在于正交变换与冗余变换的耦合。给出了该方法的仿真结果,并与基于DCT和WT的方法对Lena和Mountain图像的仿真结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved compression by coupling of coding techniques and redundant transform
The techniques commonly used in image coding (JPEG, MPEG, ...) have as the main objective to compress as much as possible while retaining most of the information. These methods are often based on the use of the discrete cosine transform (DCT) and the wavelet transform (WT). Our purpose is to consider the necessary redundancy to achieve a good reception in the case of heavy interruptions of bits transmission. There is however a contradiction between an optimal compression and the redundancy required. It is thus necessary to master and compress the information to be transmitted as much as possible and to withstand the noise on the transmission channel. This article makes a contribution to this difficult problem: its originality resides in the coupling of orthogonal transforms and a redundant transform. Simulation results are provided using our method and the results are compared with that of DCT and WT based methods for Lena and Mountain images.
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