Lossless embedded compression algorithm with context-based error compensation for video application

2012 IEEE 16th International Symposium on Consumer Electronics Pub Date : 2012-06-04 DOI:10.1109/ISCE.2012.6241723

Hyerim Jeong, Jaehyun Kim, Kyohyuk Lee, K. Yoo, Jaemoon Kim

引用次数: 3

Abstract

With the increase of image resolution in video application, the memory bandwidth is a critical problem in video coding. An embedded compression algorithm is a technique that can compress the frame data when stored in memory. It is possible to reduce memory requirements. In this paper, we propose a lossless embedded compression algorithm with context-based error compensation to reduce the memory bandwidth requirement. Experimental results have shown at least 50% memory bandwidth reduction on average and the data reduction ratio of the proposed algorithm is up to 5% higher than previously proposed lossless embedded compression algorithm [2].

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视频应用中基于上下文误差补偿的无损嵌入式压缩算法

随着视频应用中图像分辨率的提高，存储带宽成为视频编码中的一个关键问题。嵌入式压缩算法是一种能够对存储在内存中的帧数据进行压缩的技术。减少内存需求是可能的。在本文中，我们提出了一种基于上下文的误差补偿的无损嵌入式压缩算法，以减少内存带宽需求。实验结果表明，与先前提出的无损嵌入式压缩算法[2]相比，该算法的平均内存带宽至少减少了50%，数据缩减率提高了5%。

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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2012 IEEE 16th International Symposium on Consumer Electronics

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