A new integer image coding technique based on orthogonal polynomials

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摘要

In this paper, a new image coding scheme based on orthogonal polynomials has been presented. From a set of orthogonal polynomial functions, we first obtain the polynomial operators and polynomial basis operators of different width to propose the polynomial transform coding. After applying the proposed transformation, the transform coefficients are threshold coded using quantization and bit allocation as in JPEG baseline system. The performance of the proposed transform coding is reported by computing peak signal-to-noise ratio (PSNR). The proposed coding scheme is also compared with other transform coding schemes such as Discrete Cosine Transform and Discrete Wavelet Transforms.

论文关键词:Image compression,Transform coding,Orthogonal polynomials,Signal-to-noise ratio

论文评审过程:Received 24 January 2008, Revised 11 August 2008, Accepted 18 August 2008, Available online 26 August 2008.

论文官网地址:https://doi.org/10.1016/j.imavis.2008.08.006