Comparison between Image Compression Algorithms
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 12
Abstract
Data compression is an essential part of computerized applications and processes. Images make up a significant portion of transmitted and stored data. There are various ways of image compression that have been studied and improved upon. This paper focuses on three main image compression algorithms: Run Length Encoding, Huffman Encoding, and JPEG compression. While there are a large number of available image compression algorithms, each of the aforementioned methods is selected due to their widespread usage, compression characteristics, and representation of different aspects in image compression. These three compression techniques are discussed and compared with each other, highlighting advantages and optimal conditions.
Authors and Affiliations
Abdullatif zankawi. , adel Alateyah
Keywords
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