Human vision-based wavelet image coding

Pankaj N. Topiwala

doi:10.1117/12.292756

30 October 1997 Human-vision-based wavelet image coding

Pankaj N. Topiwala

Proceedings Volume 3164, Applications of Digital Image Processing XX; (1997) https://doi.org/10.1117/12.292756
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

We present a technique to compress scalar functions defined on 2-manifolds of arbitrary topology. Our approach combines discrete wavelet transforms with zerotree compression, building on ideas from three previous developments: the lifting scheme, spherical wavelets, and embedded zerotree coding methods. Applications lie in the efficient storage and rapid transmission of complex data sets. Typical data sets are earth topography, satellite images, and surface parametrizations. Our contribution in this paper is the novel combination and application of these techniques to general 2-manifolds. Keywords: compression, wavelets, manifolds, 30 objects, zerotree, multiresolution analysis, progressive coding

Citation Download Citation

Pankaj N. Topiwala "Human-vision-based wavelet image coding", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.292756

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