In this article, we propose a novel integrated approach to quantitative semi-fragile authentication of JPEG2000 images under a generic framework which combines ECC and PKI infrastructures. Firstly acceptable manipulations (e.g., re-encoding) which should pass authentication are defined based on considerations of some target applications. We propose a unique concept of lowest authenticable bit r...

A great deal of computation for JPEG2000 encoding is a redundancy when the compression rate is high. That is because many coded bit-streams will be truncated after the rate control of JPEG2000. In this paper, an effective scheme for JPEG2000 rate control is proposed. Through this scheme, the computation complexity for JPEG2000 entropy coding, that is, EBCOT Tier-I, can be greatly reduced almost...

We implemented a lossless compression method tailored to brain volumes. By making use of the particular characteristics of these images, we sought to improve compression ratios compared to other general encoders. We exploit global and local symmetries of sub-bands after wavelet decomposition to achieve intra-band prediction. We also implement a shift-based inter-slice DPCM prediction scheme tha...

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 ...

JPEG2000 is the new emerging international standard for image compression that has been developed by JPEG (Joint Photographic Experts Group). It is far superior over many other compression standards like JPEG in terms of performance and feature set. The rich feature set makes it suitable in many multimedia applications but at the same time its high complexity makes it difficult to optimize the ...

We propose a compression algorithm for an array of multiview images. First, we apply a segmentation algorithm to partition the data into coherent layers and significantly reduce the number of images required for artifact-free rendering. Then, we exploit the coherence in each layer by applying a 1D disparity compensated wavelet transform across the views followed by a 2D SA-DWT on each of the sp...

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...