The need for high-performance image compression is becoming greater and greater as digital imagery finds its way into many areas of everyday life. JPEG2000 is the state-of-the-art compression standard emerges from the Joint Photographic Experts Group (JPEG) working under the auspices of the International Standards Organization. The new standard out performs the older JPEG standard by approximat...

Every digital image has some spatial regions that are more important in some sense than others are. To provide higher reconstruction quality for the important region, Region of Interest (ROI) based compression methods are developed. In image compression, ROI coding allows to recover the ROI earlier than the rest of the image. JPEG2000 is an international standard for still image compression and...

JPEG2000 is a new standard that was developed to take over the widely used JPEG standard. In JPEG2000, the use of wavelet transform and EBCOT greatly improves the quality of the image and the compression ratio. They do, however, take up a lot of processing time. We therefore implemented the processing intensive tasks, namely the reversible discrete wavelet transform (DWT), arithmetic encoding, ...

This paper attempts to give a recipe for selecting one of the popular image compression algorithms based on (a) Wavelet, (b) JPEG/DCT, (c) VQ, and (d) Fractal approaches. We review and discuss the advantages and disadvantages of these algorithms for compressing grayscale images, give an experimental comparison on four 256×256 commonly used images, Jet, Lenna, Mandrill, Peppers, and one 400×400 ...

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...

A scheme which integrates image compression and image watermarking in an effective way is proposed in this research. The image compression scheme under consideration is EBCOT (Embedded Block Coding with Optimized Truncation) which has been adopted in the verification model (VM) of the emerging JPEG-2000 image compression standard. The watermark is embedded during the process when the compressed...

Conventional EBCOT algorithm encodes an image with the same block-based coding strategy and it is difficult to acquire perceptually consistent results in practical applications. This paper presents a new scheme for object-based embedded coding aiming to enhance the flexibility and the coding efficiency. In our scheme, an original image is firstly segmented into objects, which are taken as basic...