2016Unpublished venueRequires access

Implementation of JPEG-LS compression algorithm for real time applications

Fidha Nazar, Senthil Murugan

Open publisher page 13 citations

Abstract

The LOCO-I / JPEG-LS algorithm aims at providing lossless compression ratios but with a much lower algorithm complexity. Official designation of JPEG-LS is ISO-14495-1/ITU-T.87. JPEG-LS is a simple and efficient algorithm that mainly consists of two stages modeling and encoding. Thus it divides the whole compression process in two phases of spatial pixel prediction and entropy coding and uses contexts in the first as well as the second phase. The algorithm uses a predictive technique and the resulting prediction error is encoded using Golomb-Rice coding. The proposed JPEG-LS Algorithm based on LOCO-I is implemented in MATLAB.

About this research paper

What this paper is about

The LOCO-I / JPEG-LS algorithm aims at providing lossless compression ratios but with a much lower algorithm complexity. Official designation of JPEG-LS is ISO-14495-1/ITU-T.87. JPEG-LS is a simple and efficient algorithm that mainly consists of two stages modeling and encoding. Thus it divides the whole compression process in two phases of spatial pixel prediction and entropy coding and uses contexts in the first as well as the second phase. The algorithm uses a predictive technique and the resulting prediction error is encoded using Golomb-Rice coding. The proposed JPEG-LS Algorithm based on LOCO-I is implemented in MATLAB.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The LOCO-I / JPEG-LS algorithm aims at providing lossless compression ratios but with a much lower algorithm complexity. Official designation of JPEG-LS is ISO-14495-1/ITU-T.87. JPEG-LS is a simple and efficient algorithm that mainly consists of two stages modeling and encoding. Thus it divides the whole compression process in two phases of spatial pixel prediction and entropy coding and uses contexts in the first as well as the second phase. The algorithm uses a predictive technique and the resulting prediction error is encoded using Golomb-Rice coding. The proposed JPEG-LS Algorithm based on LOCO-I is implemented in MATLAB.

Key concepts: Lossless JPEG, Entropy encoding, Golomb coding, Computer science, Lossless compression, Algorithm, JPEG, Data compression

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