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We present a statistical optimization framework for solving the end-to-end problem of progressive transmission of images over noisy channels. We consider the impacts of transmissi...
A hybrid video coding scheme which combines fractal coding with neighbourhood vector quantisation is reported. While fractal coding exploits the redundancy present in different sc...
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
In this paper, we build multi-resolution source codes using entropy constrained dithered scalar quantizers. We demonstrate that for n-dimensional random vectors, dithering followe...
Inspired by a converse result, the concept of "probabilistically matched" sources and channels is extended to sources subject to multiresolution coding and degraded broa...