Scientific Conferences of Ukraine, 6th International Conference High Performance Computing HPC-UA 2020

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Feasibility Study Of Hardware Acceleration In Gif Compression Algorithm
Ivan Mozghoviy, Anatoliy Sergiyenko, Roman Yershov

Last modified: 2021-10-18

Abstract


Increasing requirements for data transfer and storage is one of the crucial questions now. There are several ways of high-speed data transmission, but they meet limited requirements applied to their narrowly focused specific target. In addition, such solutions do not solve the problem of data storage. The data compression approach gives the solution to the problems of high-speed transfer and low-volume data storage. This paper is devoted to the compression of GIF images, using a modified LZW algorithm with a tree-based dictionary. It has led to a decrease in lookup time and an increase in the speed of data compression, and in turn, allow developing the method of constructing a hardware compression accelerator during the future research.

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