Data Compression Using Stout Codes
DOI:
https://doi.org/10.30865/ijics.v3i1.1362Abstract
The need for data compression is now very important because it is affected by human nature that tends to collect data and also influenced by the need for a process for fast data transfer because the data size becomes smaller. Now many compression algorithms can be used, one of which is the stout codes algorithm. how the stout code algorithm works by encoding characters that often appear with smaller codes than characters with fewer occurrences. The results of data compression in the form of text with the algorithm of the stout code algorithm is the size of the text data becomes smaller with a compression ratio 60% and space saving 40%.
References
P. Ezhilarasu, “Fibonacci Coding for Lossless Data Compression – A Review,†vol. 2, no. 3, pp. 44–51, 2015.
M. Fadlan, S. D. Nasution, F. Fadlina, S. R. Siregar, and P. Pristiwanto, “Comparative Analysis of Sequitur Algorithm with Adaptive Huffman Coding Algorithm on Text File Compression with Exponential Method,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 8, pp. 349–353, 2017.
S. D. Nasution and Mesran, “Goldbach Codes Algorithm for Text Compression,†IJournals Int. J. Softw. Hardw. Res. Eng., vol. 4, no. December, pp. 43–46, 2016.
L. Marlina, A. Putera, U. Siahaan, H. Kurniawan, and I. Sulistianingsih, “Data Compression Using Elias Delta Code,†Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 210–217, 2017.
A. V. Singh and G. Singh, “A Survey on Different Text Data Compression Techniques,†Int. J. Sci. Res., vol. 3, no. 7, pp. 1999–2002, 2014.
I. M. A. D. Suarjaya, “A New Algorithm for Data Compression Optimization,†Int. J. Adv. Comput. Sci. Appl., vol. 3, no. 8, pp. 14–17, 2012.
R. Singh and B. Bikramjeet, “A Survey on Different Compression Techniques and Bit Reduction Algorithm for Compression of Text/Lossless Data,†Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 3, no. 3, pp. 2277–128, 2013.
D. Salomon, Handbook of Data Compression. Springer, 2010.
