利用自适应线性回归和Golomb-Rice编码增强JPEG静态图像压缩

Chinchen Chang, Y. Lai
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引用次数: 6

摘要

JPEG压缩方法是最流行的压缩方案之一。有许多基于JPEG压缩标准的硬件和软件系统。这表明在这些系统过时之前,格式仍然非常重要。本文提出了一种适用于标准JPEG压缩的自适应回归方法,以获得更高的压缩比。此外,为了改进JPEG标准,还介绍了一种有趣的编码方案——Golomb-Rice编码。由于该编码方案不是基于对某些图像的频率分析来获得码本,因此使用该编码方案编码后的解码图像可以保证平均质量。标准的JPEG压缩方案可以导入这两者,以获得更高的压缩率或更广泛的应用领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Enhancement of JPEG Still Image Compression with Adaptive Linear Regression and Golomb-Rice Coding
The JPEG compression method is one of the most popular compression schemes. There are many hardware and software systems based on the JPEG compression standard.This is an indication that the format is still very important before these systems become outdate. This paper presents an adaptive regression method applied to the standard JPEG compression for archiving higher compression ratios. Besides,an interesting coding scheme, Golomb-Rice coding, is introduced also for improve the JPEG standard. Since the coding scheme is not based on frequency analysis from certain of images to gain a codebook, the decoded images that are encoded with this scheme are assured in average quality. The standard JPEG compression scheme can import these two for higher compression rates or wider application fields.
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