Compression Rate Comparison between Elias Delta and Unary Codes
Andysah Putera Utama Siahaan · 2018
Compression is significant in data storage. Existing data is in desperate need of a reduction technique so that the data can be stored efficiently. Compression is useful because it helps reduce the use of hard disk storage. Also, compression is useful for reducing transmission costs for sending data on the network. There are many methods used to do compression. This study contains a comparison of two methods of compression. The Elias Delta and Unary algorithms are the two algorithms chosen to compare in this study. Both of these algorithms have different work processes. The results of both are also very competitive in data compression. In different data, the Elias Delta algorithm is superior in storing space during compression, and the Unary algorithm is weak in compression. On the other hand, the Unary algorithm is superior in storing data, while Elias Delta algorithm loses in storing data. The result of both algorithms has different performance using different data.