Generally the RGB images are characterised by high degree of inter-correlation. Based on this information the compression algorithms reduce the amount of bits required for coding, by transferring the RGB color space to another colorspace. Images consist of luminance and chrominance components but human eye is sensitive to luminance components. So, more bits are allocated to luminance components. This paper proposes Quadtree decomposition-based image coding. Most of the researchers have proposed several colorization-based image coding techniques, in which, the luma component is encoded by a standard encoder, while the two chroma components encoded by colorization. The proposed method colorizes the luminance image fast and effectively. The simulation results show that the proposed technique gives better results than the existing coding methods derived from classical methods.

Luminance Image, Image coding, Quadtree decomposition

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