Design of Low-Power SPIHT Decoder Based ECG Compression and Reconstruction System

This article proposes a 1D biomedical signal encoding scheme to allow embedding of metadata and to protect privacy. The compression of ECG signal and its reconstruction is implemented. The design concentrates on an overview of the criteria for safe and effective m-health storage, transmission, and access to medical tests. However, existing architectures for encoding SPIHT are designed to process images/videos. Significant memory and complex sorting algorithms are required for both architectures, and they all require time-consuming tasks that do not apply to mobile ECG applications. On the basis of our previously updated SPIHT coding research, we used flags and bit controls to reduce memory needs and code complexity through a combination of three search processes in one phase. The goal of real-time architecture for mobile ECG applications is therefore to be accomplished. In order first, to solve the disadvantages of the low-encryption speed of coded and complex hardware architectures that characterize previous SPIHT algorithms, we propose a SPIHT coding algorithm that uses several types of state registry files because of its need for dynastic c to attain real-time and performance design objectives. Secondly, a highly piped and efficient VLSI architecture is used to implement a high-efficiency and low-power SPIHT design based on the proposed algorithm.

Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques

In this chapter, the performance of wavelet transform-based EZW coding and SPIHT coding technique have been evaluated and compared in terms of CR, PSNR, and MSE by applying them to similar color images in two standard resolutions. The application of these techniques on entire color images such as passport size photograph in which the region containing the face of a person is more significant than other regions results in equal loss of information content and less compression ratio. So, to achieve the high CRs and distribute the quality of the image unevenly, this chapter proposes the ROI coding technique. Compressing ROI portion using discrete wavelet transform with Huffman coding and NROI compressed with Huffman, EZW coding, SPIHT coding suggested effective compression at nearly no loss of quality in the ROI portion of the photograph. Further, higher CR and PSNR with lower MSE have been found in high-resolution photographs, thereby permitting the reduction of storage space, faster transmission on low bandwidth channels, and faster processing.

High Rate Squeezing using LL Band Coding in Wavelet Domain

Wavelet based image compression standards not only inspired signal and image processing community but also the research community of many research and application fields towards the wavelet theory. All wavelet based schemes follow the standard sequence of steps. They are transformation and the processing task at one end followed by the inverse of processing task and inverse transform at another end. Wavelet based compression was done in a quite different manner from its inception. The early techniques include Embedded Zerotree Wavelet (EZW) coding and Set Partitioning in Hierarchical Trees (SPIHT) coding. Although, SPIHT is an extension of EZW, both follow more or less similar process in coding and decoding. These schemes code the significant and insignificant coefficients using symbols or maintaining a list of indices of the coefficients. The decision on significant or insignificant will be taken by comparing with a threshold which will be updated in each iteration. In both the schemes, if a coefficient is identified as an insignificant one, then the bits incurred in conveying this coefficient is less and in many cases very less. One can imagine that if a coefficient is made to be an insignificant then the number of bits required will be less. This issue was taken up in this paper and bits of selected regions is chosen and a significant improvement is compression ratio is observed at a little cost of quality.

Evaluation of the Medical Image Compression using Wavelet Packet Transform and SPIHT Coding

Wavelet transforms and wavelet packets are widely imposed in the analysis and resolution of problems related to science and technical engineering. Decomposition wavelet packet allows several frequency bands according to various levels of resolutions. We apply this transform (PWT) coupled with the SPIHT coder to reduce the limitations of conventional wavelet filter bank. The results obtained using the applied algorithm, are very satisfactory and encouraging compared to many of the best coders cited in the literature and show a visual and numerical superiority over conventional methods. These the promising results are confirmed by visual evaluation parameters (PSNR, MSSIM and VIF).