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Academic Journal of Mathematical Sciences, 2023, 4(3); doi: 10.25236/AJMS.2023.040301.

An Introduction of Image Lossless Compression Approches


Shengzhong Zhang, Lei Yu, Yinqian Cheng

Corresponding Author:
Shengzhong Zhang

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

Cite This Paper

Shengzhong Zhang, Lei Yu, Yinqian Cheng. An Introduction of Image Lossless Compression Approches. Academic Journal of Mathematical Sciences (2023) Vol. 4, Issue 3: 1-4. https://doi.org/10.25236/AJMS.2023.040301.


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