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 ...

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...

An efficient compression strategy is indispensable for 3-D digital echocardiography, which can provide more accurate diagnostic information than 2-D echocardiography without geometric assumption, but unfortunately requires a huge storage space. We describe a new set partitioning in hierarchical trees (SPIHT) algorithm that is based on the wavelet packet transform and use it to compress 3-D echo...

Contourlet is a new image representation method, which can efficiently represent contours and textures in images. In this paper, we analyze the distribution of significant contourlet coefficients in different subbands and propose a contourlet image coding algorithm by constructing a virtual low frequency subband and adjusting coding method of SPIHT (Set Partitioning in Hierarchical Trees) algor...

The proposed algorithm presents an application of 3D-SPIHT algorithm to color volumetric dicom medical images using 3D wavelet decomposition and a 3D spatial dependence tree. The wavelet decomposition is accomplished with biorthogonal 9/7 filters. 3D-SPIHT is the modern-day benchmark for three dimensional image compressions. The three-dimensional coding is based on the observation that the sequ...

The introduction of the zero-tree wavelet image coding technique has leaded to the development of many new and powerful coding algorithms based on its theory. Because of simplicity and coding efficiency, Said and Pearlman’s Set Partitioning In Hierarchical Trees (SPIHT) algorithm is treated as one of the most significant among these algorithms. However the high memory requirement and time-consu...