4.7 Article

A new integer image coding technique based on orthogonal polynomials

Journal

IMAGE AND VISION COMPUTING
Volume 27, Issue 8, Pages 999-1006

Publisher

ELSEVIER
DOI: 10.1016/j.imavis.2008.08.006

Keywords

Image compression; Transform coding; Orthogonal polynomials; Signal-to-noise ratio

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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. (C) 2008 Elsevier B.V. All rights reserved.

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