As the coming era of digitized medical information, a close-al-hand challenge to deal with is the storage and transmission requirement of enormous data, including medical images. Compression is one of the indispensable techniques to solve this problem. In this work, we propose a dynamic vector quantization (DVQ) scheme with distortion-constrained codebook replenishment (DCCR) mechanism in wavel...

This paper presents a scalable to lossless compression scheme that allows scalability in terms of sampling rate as well as quantization resolution. The scheme presented is perceptually scalable and it also allows lossless compression. The scheme produces smooth objective scalability, in terms of SNR, until lossless compression is achieved. The scheme is built around the perceptual SPIHT algorit...

This work describes the method for providing robustness to errors from a binary symmetric channel for the SPIHT image compression. The source rate and channel rate are jointly optimized by a stream of fixed-size channel packets. Punctured turbo codes are used for the channel coding, providing stronger error protection than previously available codes. We use the most appropriate set of puncturin...

This paper describes the embedded block coding algorithm at the heart of the JPEG2000 image compression standard. The algorithm achieves excellent compression performance, usually somewhat higher than that of SPIHT with arithmetic coding, but in some cases substantially higher. The algorithm utilizes the same low complexity binary arithmetic coding engine as JBIG2. Together with careful design ...

This paper presents a new secret image sharing method using multiwavelet transform in a general framework with the associated preand post-filtering to achieve an efficient representation of secret images at a low bit rate. It adopts a set partitioning in hierarchical trees (SPIHT) codec to enhance compactness of the data for processing in an image-sharing scheme. Because multiple data channels ...

Set Partitioning in Hierarchical Trees (SPIHT) is an efficient wavelet-based progressive image-compression technique, designed to minimize the mean-squared error (MSE) between the original and decoded imagery. Since wireless channels suffer from significant bit error rates, some mechanism to protect the encoded image is required. Many error control solutions have been proposed to address the pr...

In this paper, we modify the 3-D SPIHT in [11], which is the 3-D extension to image sequence of 2-D SPIHT still image coding [4], in order to allow more exibility in choosing the number of frames to be processed at one time by introducing unbalanced tree structure. Simulation shows that 3-D SPIHT with reduced coding latency still achieves coding results comparable to MPEG-2 at bit-rate around 5...

Image compression demands high speed architectures for transformation and encoding process. Medical image compression demands lossless compression schemes and faster architectures. A trade-off between speed and area decides the complexity of image compression algorithms. In this work, a high speed DWT architecture and pipelined SPIHT architecture is designed, modeled and implemented on FPGA pla...

EZW (Embedded Zerotree Wavelets) coding algorithm has not only high compression rate but also some new features such as progressive coding/decoding, low computational complexity, etc. Based on EZW, many improved algorithms have been developed in recent years. SPIHT (Set Partitioning in Hierarchical Trees) is an outstanding one among them. Statistical experiments show that some directional and p...