Effect of color spaces on image compression using hybrid wavelet transform generated with varying proportions of constituent transforms

Today, enormous amount of multimedia data is generated, transmitted and stored on the internet which has opened new research dimensions for computing field. In recent work, hybrid wavelet transforms (HWT) generated with various constituent transforms is proven to be better than individual orthogonal transforms [7]. Later work as proved that HWT generated with varying proportions of constituent transforms gives better compression quality as compared to equal proportions of constituent orthogonal transforms in HWT depending upon the compression ratio [1, 2]. Here the appraise of the effect of color spaces on image compression using HWT generated with varying proportions of constituent transforms and constituent transforms is presented. The experimentation is done on the test bed having 15 images of varied sizes and eight compression ratios (60% to 95%). The results show that for higher compression ratio of 95%, the LUV color space gives better compression quality as compared to other considered color spaces with HWT generated with 4:1 proportion of Cosine- Sine constituent transforms. For 65% to 90% compression ratios, HWT generated from 1:1 proportion of Cosine-Kekre constituent transform with RGB color space gives less average mean square error (MSE). For lower compression ratio of 60%, HWT generated with 1:4 proportion of Cosine-Kekre constituent transform gives better image compression quality with RGB color space.