Universal coding was developed for compressing data that the probability distribution of a symbol is unknown. Universal coding methods encode a symbol using some bits as code based on the coding algorithm. This research introduces a new concept of universal coding by encoding two symbols using Reversible Low Contrast Mapping (RLCM) transform. The proposed method transforms a pair non negative integer to a non-negative integer and a binary number. This research also introduces a compression scheme namely Average Encoding (AE) to compress a sequence of data using the proposed coding method. This method generally yields a higher compression ratio than the Elias Delta, Elias Gamma, and Fibonacci coding when it is tested using the results of differential encoding of some testing images.

Original languageEnglish
Article number42008
JournalJournal of Physics: Conference Series
Issue number4
Publication statusPublished - 7 Nov 2019
Event3rd International Conference on Science, ICOS 2019 - Makassar, India
Duration: 26 Jul 201927 Jul 2019


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