A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Compressing still and moving images with wavelets
Multimedia Systems - Special issue on video compression
Wavelet filter evaluation for image compression
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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The recent growth of data intensive digital audio, image, and video applications, have not only sustained the need for more efficient ways to compress images but have made compression of such signals central to image-storage technology and digital communications. Data transfer of uncompressed video over digital networks requires very high bandwidth. The state-of-the-art image compression techniques may exploit the dependencies between the subbands in a wavelet transformed image. In this paper, a modified version of LBG algorithm using Partial Search Partial Distortion is presented for coding the wavelet coefficients to speed up the codebook generation. The proposed scheme can save 70 - 80 % of the Vector Quantization encoding time compared to fully search and reduced arithmetic complexity with out sacrificing performance.