Block Truncation Coding (BTC) is a simple and fast image compression algorithm wich achieves constant bit rate of 2.0 bits per pixel. The method is however suboptimal. In the present paper we propose a modification of BTC in which the compression ratio will be improved by coding the quantization data and the bit plane by arithmetic coding with an adaptive modelling scheme. The results compare f...

The Block-based Discrete Cosine Transform (BDCT) is one of the most widely used transforms in image and video coding. However, it introduces annoying blocking artifact at low data rates. A great deal of work has been done to reduce the artifact. In this paper, we propose a transform domain-based Markov Random Field (TD-MRF) model to address this problem. Based on this new model, a transform dom...

We consider the detection of correlated information sources in the ubiquitous Code-Division Multiple-Access (CDMA) scheme. We propose a messagepassing based scheme for detecting correlated sources directly, with no need for source coding. The detection is done simultaneously over a block of transmitted binary symbols (word). Simulation results are provided demonstrating a substantial improvemen...

We extend the sliding block code in symbolic dynamics to transform two sequences of Markov chains with time delay. Under the assumption that chains are irreducible and aperiodic, we prove the central limit theorem (CLT) for the normalized sums of extended sliding block codes from two sequences of Markov chains. We apply the theorem to evaluations of bit error probabilities in asynchronous sprea...

This chapter presents a subband/wavelet video coder using an object-based spatiotemporal segmentation. The moving objects in a video are extracted by means of a joint motion estimation and segmentation algorithm based on a compound Markov random eld (MRF) model. The two important features of our technique are the temporal linking of the objects, and the guidance of the motion segmentation with ...