Shengzhong Zhang, Lei Yu, Yinqian Cheng
Information Network Center, China University of Geosciences (Beijing), Beijing, China
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.
Lossless Compression, Entropy, Compact Code, Run Length Coding, Arithmetic Coding
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