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A Novel Computational Model for Transform Coding of Colour Images with Orthogonal Polynomials in difference Colour Spaces

Dr R. Punidha, B Latha, B Sivagama Sundhari

In this paper, a new computational model for transform coding of colour images based on a set of orthogonal polynomials is proposed in different colour spaces. Initially, a three dimensional point spread operator is devised from a set of orthogonal polynomials and a linear transformation is defined in terms of matrix operation that takes less computation time. The proposed model is configured to take not only the interactions in the individual colour planes but also takes into account interactions between the colour planes. Based on the energy grouping property of orthogonal polynomials transform, the single dimensional energy vectors generated by point spread operator of proposed transform coding are rearranged so that the high energy transformed coefficients are grouped to yield higher compression ratio. After the proposed transformation, the transform coefficients of the colour images are subjected to quantization and entropy coding with a new nipple-dictionary substitution technique. The performance of the proposed colour image transform coding is reported by computing the peak-signal-to-noise ratio and is compared with DCT and wavelet based coding schemes. The proposed model is experimented in RGB colour space and extended to different colour spaces such as YCbCr, YIQ, XYZ and HSI models