Image Compression Implementation using Modified Biorthogonal Wavelet Filters

Abstract

Image compression is now essential to reduce data volume. In Internet browsing the progressive transmission scheme is efficient. Here the user sees small size coarse image reconstructed from very few bits, then more bits received the image quality is successively refined. This scheme also provides the user the option to quit any time if image found is irrelevant. In this thesis I am implementing image compression in MATLAB using different wavelet filters and encoding the decomposed coefficients using Embedded Zero Tree Wavelet coding[1,3,9]. As Biorthogonal filters exhibits linear phase but not energy preserving[1,3] so I have proposed a modification to Biorthogonal Wavelet Filter [1,4,5] Filter which will become closer to orthogonal Wavelet Filters which are energy preserving.