Error resiliency issues in wavelet compression

A. Youssef
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Abstract

Summary form only given. Error resiliency is the ability to tolerate uncorrectable errors with graceful quality degradation. It differs from traditional uses of error-correcting coding (ECC) in two major respects: (1) it assigns differentiated (rather than uniform) error protection to different segments of the data, and (2) if errors cannot be corrected in some data segments, a good- (albeit degraded-) quality reconstruction of the data is still possible. The error resiliency approach is suitable in lossy compression, particularly, DCT-based and wavelet-based compression. Under those compression schemes, the data is separated into different frequencies or frequency bands. Since the human visual and auditory systems are more sensitive to lower-frequency data than to higher-frequency data, it is better to protect the lower-frequency data more than the higher-frequency data, given a constant ECC bit rate. With this differentiated error protection, the probability of recovering from errors in the lower-frequency data is higher, and thus the probability of reconstructing good-quality data (e.g., image, video or sound) is higher. For effective and efficient error resiliency, many issues need careful study and some are addressed in this paper. We investigate our error resiliency approaches applied to wavelet compression of images.
小波压缩中的错误弹性问题
只提供摘要形式。错误弹性是容忍不可纠正的错误并使质量下降的能力。它与纠错编码(ECC)的传统用途在两个主要方面有所不同:(1)它为不同的数据段分配差异化(而不是统一)的错误保护,(2)如果某些数据段中的错误无法纠正,仍然可以对数据进行良好(尽管降级)的质量重建。误差弹性方法适用于有损压缩,特别是基于dct和小波的压缩。在这些压缩方案下,数据被分离到不同的频率或频带。由于人类的视觉和听觉系统对低频数据比高频数据更敏感,因此在给定恒定的ECC比特率的情况下,对低频数据的保护要优于对高频数据的保护。使用这种差别化错误保护,从低频数据中的错误中恢复的概率更高,因此重建高质量数据(例如图像、视频或声音)的概率更高。为了实现有效和高效的错误恢复,需要仔细研究许多问题,其中一些问题在本文中得到了解决。我们研究了应用于图像小波压缩的误差弹性方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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