Embedded zerotrees wavelet image coding using source polar codes

Hui Ma, Deyuan Chen, Can Zhang
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引用次数: 1

Abstract

Following the directions of Shannon's duality of source coding and channel coding, source polar codes have been found and proven to be a rate distortion achievable lossy source codes. Nowadays, research of these codes which are developed from channel codes is still in the stage of theoretical simulation, and there is not specific application being found. Based on the excellent rate distortion performance of source polar codes, we propose a novel embedded zerotrees wavelet image coding method using source polar codes creatively in this paper, which is called PC-EZW (Polar Coded — Embedded Zerotrees Wavelet). PC — EZW could realize a rate-distortion controllable lossy image compression, and the experiments show that PC-EZW has higher coding speed, less storage budget and scan times than EZW (Embedded Zerotrees Wavelet) in some standard test images. At the same time, PC-EZW offers the possibility of parallel process of lowpass subband and highpass subband.
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嵌入零树小波图像编码使用源极码
根据香农的源编码和信道编码的对偶性,发现并证明了源极码是一种可实现率失真的有损源代码。目前,对这些从信道码发展而来的码的研究还停留在理论仿真阶段,还没有找到具体的应用。基于源极码出色的率失真性能,本文创造性地提出了一种利用源极码的嵌入式零树小波图像编码方法,称为PC-EZW (polar Coded - embedded zerotrees wavelet)。PC-EZW可以实现率失真可控的有损图像压缩,实验表明,在一些标准测试图像中,PC-EZW比嵌入式零树小波(Embedded Zerotrees Wavelet)具有更高的编码速度、更少的存储预算和扫描次数。同时,PC-EZW提供了低通子带和高通子带并行处理的可能性。
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