Abstract
In this paper a novel multiresolution adaptive VQ (MRAVQ) still image codec is presented. An extension of the system to the progressive transmission of images is also developed. A biorthogonal wavelet transform is applied to split the frequency spectrum of the input image into subbands. The wavelet coefficients are coded using an adaptive VQ scheme combined with a dynamic bit allocation strategy based on marginal analysis. The frequency response of the Human Visual System is taken into consideration in the design of the subband VQs in order to improve the subjective quality of the reconstructed images. The performance measures of the codec compared to JPEG are given for two test images.
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