a formal justification of the suitability of lattices for coding of wavelet coefficients. We also define the criterion for
The combination of the wavelet transform and vector quantization has proven to be a powerful technique for image compresoptimality of lattices for quantization of a random source. sion. In this paper we discuss an image compression system This is followed by a description of D-type lattices. Then, based on the biorthogonal wavelet transform and lattice vector we compare D lattices with optimal quantizers. The paper quantizers. In particular, we consider D-type lattices which, as is concluded with presentation of a number of image coding it is shown, are well suited for encoding the wavelet coefficients. experiments for a general type of images and for finger-In the experimental part of this work the presented image prints. In terms of fingerprints the experimental results are coding system is tested using general-type images as well as evaluated by comparing them with the recently developed fingerprints. The comparison of the fingerprint coding results FBI fingerprint compression standard [6].
generated by the presented method with the FBI image compression standard has shown that our method attains a superior speed of coding while maintaining similar figures for signalto-noise ratio vs compression ratio.