Lossless compression is a new technique for reduction of data quantity without reducing the quality of an image. The storage and transfer of compressed data is faster as compared to uncompressed data. To achieve high compression ratio and compression time, we use modified Embedded Zero Tree Wavelet (EZW), improved Enhanced Set-Partitioning In Hierarchical trees (ESPIHT) techniques. These techni...

Recently, images and video are being extensively used in numerous areas such as video-conferencing, multimedia documentation, telemedicine, high definition television (HDTV) etc. These diverse applications can benefit from the design of a family of image compression algorithms that address their specific needs. We propose a framework for wavelet-based image compression that leads to a family of...

In ATM networks cell loss or channel errors can cause data to be dropped in the channel. When digital images/video are transmitted over these networks one must be able to reconstruct the missing data so that the impact of the errors is minimized. In this paper we overview the problem of using EZW encoders in channels where data-loss is possible. We also describe an error concealment scheme base...

1 See the demo site at http://www.cs.ualberta.ca/{~anup,~TeleLrn} ABSTRACT Limitations on the bandwidth to a server makes the retrieval of a large-size high-resolution image, even compressed, very time-consuming. To speed up this process we replace the retrieval process from a single server with the retrieval from multiple servers, i.e., simultaneously retrieving different part of an image from...

In ATM networks cell loss or channel errors can cause data to be dropped in the channel. When digital imagedvideo are transmitted over these networks one must be able to reconstruct the missing data so that the impact of the errors is minimized. In this paper we overview the problem of using EZW encoders in channels where data-loss is possible. We also describe an error resilience scheme based ...

Two well-known wavelet zerotree encoding algorithms, Embedded Zerotree Encoding (EZW) and Set Partitioning in Hierarchical Trees (SPIHT), provide excellent progressive display when images are transmitted over reliable networks. However, both algorithms are state-dependent and can perform poorly over unreliable networks. In this paper, we apply the concept of network-conscious image compression ...

n Orientatio l S a subband at the l th decomposition level and at one of three orientations D-R distortion-rate T 0 initial threshold c(i,j) the wavelet coefficient at location (i,j) x a function which chooses the largest integer less than x l D the domain tree whose coarsest coefficients are in the decomposition level l 1 − l R the range tree whose coarsest coefficients are in the decomposit...

In view of the increasingly important role played by digital medical imaging in modern health care and the consequent blow up in the amount of image data that have to be economically stored and/or transmitted, the need for the development of image compression systems that combine high compression performance and preservation of critical information is ever growing. A powerful compression scheme...

The purpose of this two-part monograph is to present a tutorial on set partition coding, with emphasis and examples on image wavelet transform coding systems, and describe their use in modern image coding systems. Set partition coding is a procedure that recursively splits groups of integer data or transform elements guided by a sequence of threshold tests, producing groups of elements whose ma...