Improved lossless image coder based on suboptimal, adaptive multiplicative autoregressive models

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Improved lossless image coder based on suboptimal, adaptive multiplicative autoregressive models

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An improved lossless image coder is introduced which is based on suboptimal, adaptive multiplicative autoregressive models. Basically the improvements result from the incorporation of three new elements: a backward block-by-block parameter estimator, a probability model for the residuals, and a contextual entropy coder. The results of a comparative experimental study indicate that on average the improved coder delivers ~7% higher compression than the old scheme.

Inspec keywords: entropy; data compression; autoregressive processes; parameter estimation; probability; image coding

Other keywords: compression scheme; lossless image coder; adaptive multiplicative autoregressive models; suboptimal adaptive AR models; probability model; backward block-by-block parameter estimator; SAMAR coder; contextual entropy coder

Subjects: Other topics in statistics; Optical information, image and video signal processing; Simulation, modelling and identification; Codes; Information theory; Computer vision and image processing techniques; Pattern recognition; Other topics in statistics

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      • M. Das . Efficient method for lossless image compression using suboptimal, adaptivemultiplicativeautoregressive models. Electron. Lett. , 1302 - 1304
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