In recent years, wavelet-based video compressions have become a major focus of research because of the advantages that it provides. More recently, a growing thrust of studies explored the use of multiple scaling functions and multiple wavelets with desirable properties in various fields, from image de-noising to compression. In term of data compression, multiple scaling functions and wavelets o...

In this work, a novel ECG data compression method is presented which employs set partitioning in hierarchical trees algorithm(SPIHT) on two dimensional electrocardiogram(2D-ECG).The 2D ECG is a two dimensioned array, in which each row of this array indicates one or more period and amplitude[7] normalized ECG beats. When SPIHT algorithm is used to compress one or two-dimensional signals separate...

The wavelet-based approach that combines a reversible round-off nonrecursive discrete periodized wavelet transform (RRONRDPWT) and the set partitioning in hierarchical trees (SPIHT) scheme is an efficient ECG data compression. However, this RRO-NRDPWT-based system suffers from the high complexity of the SPIHT scheme during realization. In this paper, a modified run-length coding (MRLC) algorith...

Recent success in wavelet image coding is mainly attributed to recognition of the importance of data organization and representation. There have been several very competitive wavelet coders developed, namely, Shapiro's embedded zerotree wavelets (EZW), Servetto et al.'s morphological representation of wavelet data (MRWD), and Said and Pearlman's set partitioning in hierarchical trees (SPIHT). I...

In this paper the use of classical and lifting based wavelets for image compression was presented. Both classical and lifting based wavelets are considered. Classical wavelets considered in this work are Haar wavelet, Daubechie wavelet, Coiflet wavelet, Biorthognal wavelet, Demeyer wavelet, and Symlet wavelet. Lifting based wavelet transforms considered are (5,3) and (9,7). Large number of imag...

A vector extension of the Set Partitioning in Hierarchical Trees (SPIHT) algorithm, named vector-SPIHT (VSPIHT), using trained classified successive refinement VQ, has recently been proposed. In this work, vector set-partitioning is applied to multispectral image compression, in particular to 24-bit color images. Since the individual spectral components are sufficiently correlated, VSPIHT can e...

This paper describes methods for adapting the scanning order through wavelet transform values used in the Wavelet Difference Reduction (WDR) algorithm of Tian and Wells. These new methods are called Adaptively Scanned Wavelet Difference Reduction (ASWDR). ASWDR adapts the scanning procedure used by WDR in order to predict locations of significant transform values at half thresholds. These metho...

The set partitioning in hierarchical trees is a powerful image compression algorithm. It has reasonable complexity and produces rate scalable bit-stream. Unfortunately, SPIHT fails to explore the multi-resolution nature of wavelet transform as output bit-stream doesn't support resolution scalability. Moreover it requires huge memory complex management depends on utilizing lists with about 2.5 s...

In this paper, we present an efficient three-dimensional wavelet video coding algorithm called 3-D Embedded Subband Coding with Optimized Truncation (3-D ESCOT). In the proposed ESCOT algorithm, the coefficients in each subband are coded independently using fractional bit-plane coding approach. This feature makes it very easy to achieve frame-rate scalability and resolution scalability for the ...