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OPTIMAL IMAGE COMPRESSION TECHNIQUE BASED ON WAVELET TRANSFORMS

This Paper proposes a novel method of classifying Artificial and natural images and investigates and compares numerous wavelet function based image compression techniques for artificial and natural images. This paper compares Haar, Daubenchies, Coieflet and Discrete Meyer wavelet for Artificial and Natural images. From the results, we can conclude that, categorizing images as Artificial and Natural and then applying wavelet based compression techniques, influence the quality and compression ratio of images extraordinarily.