The JPEG committee has recently released its new image coding standard, JPEG 2000, which will serve as a supplement for the original JPEG standard introduced in 1992. Rather than incrementally improving on the original standard, JPEG 2000 implements an entirely new way of compressing images based on the wavelet transform, in contrast to the discrete cosine transform (DCT) used in the original J...

We show that an efficient quantizer originally developed for wavelet compression can be applied to DCT coding with excellent results. We have implemented a system for block-based, embedded, progressive, DCT image compression which makes use of the embedded zerotree wavelet (EZW) algorithm of Shapiro. The image is partitioned into a number of distinct square blocks and the DCT applied to each of...

In a previous study, Barro (2006), I used the Thomas A. Rietz (1988) idea of rare economic disasters to explain the equity premium and related asset-pricing puzzles. My quantitative examination of large macroeconomic contractions in 35 countries during the twentieth century suggested a disaster probability of roughly 2 percent per year. The size distribution of GDP contractions during these eve...

Local distortion inference is proposed as an alternative to assuming a spatially uniform error for image compression applications requiring careful error analysis. This paper presents an algorithm for inferring estimates of the &norm distortion (root-mean-square or RMS error) for the Embedded Zerotree Wavelet (EZW) algorithm while maintaining its good rate-distortion performance. A small amount...

There is continuous intensive research on image compression techniques in wireless sensor networks (WSNs) the literature. Some of WSNs that exist literature include discrete cosine transform (DCT), waveform transforms (DWT), set partitioning a hierarchical tree (SPIHT), and embedded zero wavelet (EZW) coding. Research necessitated by need to improve energy efficiency nodes WSNs’ lifetime...

Fractal image coding has the advantage of higher compression ratio, but is a lossy compression scheme. The encoding procedure consists of dividing the image into range blocks and domain blocks and then it takes a range block and matches it with the domain block. The image is encoded by partitioning the domain block and using Affine transformation to achieve fractal compression. The image is rec...

Abstract: This paper presents a wavelet based image coding method achieving high levels of compression. Our Eigen designed Quadrature Mirror Filters are implemented in a multiresolution subband decomposition system [1][2]. Symmetrical extension and windowing of the multi-scaled subbands are incorporated to minimize the boundary effects. Next, the Embedded Zerotree Wavelet [3] coding algorithm i...

In this paper, we present a lossy compression scheme based on the application of the 3D fast wavelet transform to code medical video. This type of video has special features, such as its representation in gray scale, its very few interframe variations, and the quality requirements of the reconstructed images. These characteristics as well as the social impact of the desired applications demand ...

Locating zerotrees in a wavelet transform allows encoding of sets of coefficients with a single symbol. It is an efficient means of coding if the overhead to identify the locations is small compared to the size of the zerotree sets on the average. It is advantageous in this regard to define classes of zerotrees according to the levels from the root until the remainder of the tree contains all z...

In this paper a fully automatic system for embedding visually recognizable watermark patterns to video objects is proposed. The architecture consists of 3 main modules. During the first module unsupervised video object extraction is performed, by analyzing stereoscopic pairs of frames. Then each video object is decomposed into three levels with ten subbands, using the Discrete Wavelet Transform...