Within the field on biomedical engineering, the majority of compression research has focused on encoding medical images, electrocardiograms, and electroencephalograms. Although long-term myoelectric signal (MES) acquisition is important for neuro-muscular system analysis and telemedicine applications, very few studies have been published on MES compression. This research investigates static and...

Two elementary algorithms are introduced for image compression each of which is based on efficient, lossless encoding of quantized bi-orthogonal wavelet coefficients. Application of this type of algorithm is applied to several standard test images using regular and hyperbolic wavelet bases, and comparisons are given to Shapiro’s EZW algorithm. Peak signal to noise ratio improvements typically o...

Color embedded image compression is investigated by means of a set of core experiments that seek to evaluate the advantages of various color transformations, spatial orientation trees and the use of monochrome embedded coding schemes such as EZW and SPIHT. In order to take advantage of the interdependencies of the color components for a given color space, two new spatial orientation trees that ...

In the field of digital image distribution and reproduction, standardization photography recent advancement in technology have led to explosive growth. This new impetus has increased need for introducing scientifically, well designed compression methods that would help handle, store transmit a huge volume data. Today, is an important role fields multimedia. DWT corporation with threshold quadtr...

Images can be compressed in multiple ways. The new JPEG2000 standard uses an algorithm called EBCOT and the Discrete Wavelet Transform, while the ordinary JPEG standard uses the Discrete Cosine Transform (DCT). Other compression methods use frequency-domain analysis with Gabon Filters, Radon Filters and other Wavelet Filters. Sim et al.[2] present an algorithm for obtaining texture descriptors ...

Le codage par transformée et décomposition en ondelettes (DO) est efficace pour coder les images hyperspectrales en suivant le standard JPEG2000 (partie 2). Toutefois la complexité du codeur EBCOT et de l’algorithme d’allocation optimale entre composantes ne permet pas son utilisation à bord d’un satellite aujourd’hui. Nous présentons une extension de l’algorithme SPIHT qui permet un codage pro...

JPEG-2000 is the latest image coding standard and is based on wavelet transforms and dyadic spectral decompositions. We have adapted the JPEG-2000 image coder for use with uniform transforms, by replacing the wavelet stage by lapped transforms. We set code-blocks that do not cross subband boundaries and encode the lapped transform coefficients directly as if they were wavelet ones. Results indi...

After analyzing the basic theory of embedded zerotree wavelet (EZW) coding algorithm, this paper brings forward an improved method which rounds down the wavelet coefficients and sets the coefficients appearing more frequent as zero, so as to reduce scan frequency in algorithm and save the storage space. Experimental results show that this algorithm improves the coding efficiency on the one hand...

The rapid growth of digital imaging applications, including desktop publishing, multimedia, teleconferencing and high definition television, (HDTV) has increased the need of effective image processing. While processing any data, it requires large memory space for storage, which ultimately increases the transmission time. In order to save memory space and speed up the rate of transmission of dat...

Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The objective of this paper is to implement the concept of wavelet based image compression to gray scale images using different wavelet techniques. The techniques involved in the comparison process are threshold method, EZW (embedded zerotree wavelet) and SPIHT (se...