Proposing self mutation of hybrid wavelet transform with Cosine-Kekre, Cosine-Sine & Cosine-Walsh for image compression

As the technology is becoming highly developed in the field of multimedia and digital imaging, the storage & size of image is becoming an issue for current era. So reduction in size of image data becomes important to accommodate large number volume of image data. Here Image Compression plays main role in reducing the size of image by removing redundant pixel values from image by maintaining original quality of image. Hybrid Wavelet Transform with Row Transform & Column Transform are already proven better. This paper proposes self mutated hybrid wavelet transform generated from Cosine Transform, Sine Transform, Walsh Transform. The experimentation is done using 15 different images having size 256×256×3 with ten different compression ratios which varies from 50% to 95%. The results from the experimentation show that the proposed method of Self Mutated Hybrid Wavelet Transform (SMHWT) generated from combination of Cosine & Kekre orthogonal transforms performs better for the lower compression ratios i.e. from 50% to 70%. Also the Hybrid Wavelet Transform (HWT) generated from mixture of Cosine Transform & Kekre Transform performs better than Self Mutated Hybrid Wavelet Transform (SMHWT) for compression ratios 75% to 95%.