多媒体压缩算法的比较分析

Godwin Awuah Amoah, Esthella Rahama Abdul Wahab
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引用次数: 0

摘要

数据压缩减少了编码信息所需的比特数,节省了昂贵的资源,如磁盘空间和传输带宽。通过使用数据压缩,信息块的实际大小被保持得尽可能小。压缩过程包括两个步骤:编码,它使用更少的比特来压缩消息;解码,它使用压缩的表示来大致类似或复制原始消息。两种主要类型的数据压缩是无损压缩和有损压缩方法。霍夫曼编码技术、Lempel-Ziv编码技术和运行长度编码技术以及其他三种常用的压缩技术都在本研究中进行了研究。根据这项研究,运行长度编码是减少文本、网页、图像和声音大小的最佳方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis of Multimedia Compression Algorithms
Data compression reduces the amount of bits needed to encode information, conserving expensive resources like disc space and transmission bandwidth. By using data compression, an information block's real size is kept as little as possible. The compression process consists of two steps: encoding, which uses fewer bits to compress a message, and decoding, which uses the compressed representation to roughly resemble or replicate the original message. The two main types of data compression are lossless compression and lossy approaches. The Huffman, Lempel-Ziv, and Run Length encoding techniques were all examined in this research, along with three other commonly used compression techniques. According to the research, Run Length Encoding was the best method for reducing the size of text, web pages, images, and sound.
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