An Introduction of Image Lossless Compression Approches

Approches, Shengzhong Zhanga, Lei Yub, Yinqian Chengc
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Abstract

: The purpose of image compression is to reduce the number of bits required to represent data by removing data redundancy. Due to the large amount of image data, it is very difficult to store, transmit, and process, so the compression of image data becomes very important. This article introduced several lossless compression approaches such as Huffman, Fano, Run Length, Arithmetic, and LZW (Lempel–Ziv–Welch) Coding. The approach which can achieve compact code is regarded as closing to the best solution.
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图像无损压缩方法简介
图像压缩的目的是通过去除数据冗余来减少表示数据所需的比特数。由于图像数据量大,存储、传输和处理非常困难,因此图像数据的压缩变得非常重要。本文介绍了几种无损压缩方法,如Huffman、Fano、Run Length、Arithmetic和LZW (Lempel-Ziv-Welch) Coding。可以实现代码紧凑的方法被认为是接近最佳解决方案的方法。
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