2010Unpublished venueRequires access

A Fast Implementation of Arithmetic Coding

Hyoung Joong Kim

Open publisher page 2 citations

Abstract

This paper advances a new lossless data compression method utilizing reversible data hiding to reduce compression times significantly and achieve good compression rates. The core idea of the new approach is to transform a longer binary sequence into a shorter n-ary sequence, transform the n-ary sequence into two binary subsequences, and apply a lossless coding algorithm based on the assumption that a shorter sequence obviously takes less time than a longer sequence. Mathematical conditions to show when the theory proposed in this paper is attainable are provided. The proposed method keeps as good of a compression rate as arithmetic coding, but takes much less time than that. Experiments show that the proposed theory is true.

About this research paper

What this paper is about

This paper advances a new lossless data compression method utilizing reversible data hiding to reduce compression times significantly and achieve good compression rates. The core idea of the new approach is to transform a longer binary sequence into a shorter n-ary sequence, transform the n-ary sequence into two binary subsequences, and apply a lossless coding algorithm based on the assumption that a shorter sequence obviously takes less time than a longer sequence. Mathematical conditions to show when the theory proposed in this paper is attainable are provided. The proposed method keeps as good of a compression rate as arithmetic coding, but takes much less time than that. Experiments show that the proposed theory is true.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper advances a new lossless data compression method utilizing reversible data hiding to reduce compression times significantly and achieve good compression rates. The core idea of the new approach is to transform a longer binary sequence into a shorter n-ary sequence, transform the n-ary sequence into two binary subsequences, and apply a lossless coding algorithm based on the assumption that a shorter sequence obviously takes less time than a longer sequence. Mathematical conditions to show when the theory proposed in this paper is attainable are provided. The proposed method keeps as good of a compression rate as arithmetic coding, but takes much less time than that. Experiments show that the proposed theory is true.

Key concepts: Lossless compression, Arithmetic coding, Data compression, Context-adaptive binary arithmetic coding, Computer science, Algorithm, Sequence (biology), Binary number

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