This paper addresses the area of data compression which is an application of image processing. There are several lossy and lossless coding techniques developed all through the last two decades. Although very high compression can be achieved with lossy compression techniques, they are deficient in obtaining the original image. While lossless compression technique recovers the image exactly. In a...

This paper describes a new predictive coding algorithm designed for lossless compression of electric signal waveforms. Prediction coefficients are obtained from the sinusoidal signal autoregressive model. Predictors for a single sinusoid and the sum of two and three sinusoids are considered. Integer-to-integer coding is obtained by the proper (i.e. reversible) quantization of computations. The ...

An integer reversible implementation of multiple component transform is significant for lossless, unified lossy/lossless and progressive lossy-lossless multi-component or hyper-spectral image coding. In this proposal, we present a reversible integer mapping method for invertible linear transforms. Its effectiveness was evaluated using 2 6-band Landsat TM images and an 80-component hyper-spectra...

In this paper we describe a new lossless image compression algorithm called HBB. HBB has been designed to see how much further we can push the current one-pass DPCM approach to lossless image coding. Its features include a novel scan ordering and a complex adaptive history-based mechanism which blends sub-predictors for prediction. Its performance is not sensitive to the values of its parameter...

A multiple access source code (MASC) is a source code designed for the following network configuration: a pair of correlated information sequences {Xi}lm_, and {x}lm_, is drawn i.i.d. according to joint probability mass function (p.m.f.) p ( z , y); the encoder for each source operates without knowledge of the other source; the decoder jointly decodes the encoded bit streams from both sources. ...