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Differential-SPIHT for image sequence coding

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
Efficient image sequence coding exploits both spatial correlation and temporal correlation. SPIHT is a powerful algorithm in exploiting spatial correlations for still image coding. Based on SPIHT, we present a novel approach to exploit temporal correlations for image sequence coding, while maintaining single frame, random access decoding. The so-called
Yang Hu, William A. Pearlman
openaire   +1 more source

SPIHT Algorithm With Adaptive Selection of Compression Ratio Depending on DWT Coefficients

IEEE transactions on multimedia, 2018
In mobile multimedia devices, the frame memory compression (FMC) technique by embedded compression (EC) is becoming an increasingly important video-processing method for reducing the external data bandwidth requirement, which, in turn, results in power ...
Hyun Kim, Albert No, Hyuk-Jae Lee
semanticscholar   +1 more source

SPIHT implemented in a XC4000 device

The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002., 2003
In this paper we present an efficient FPGA implementation of the 'Set Partitioning in Hierarchical Trees' (SPIHT) algorithm of Said and Pearlman (1996) in combination with an arithmetic coder. The FPGA implementation is applied within a partitioned approach for wavelet-based lossy image compression.
J. Ritter, G. Fey, P. Molitor
openaire   +1 more source

An effective improvement on 3D SPIHT

2012 International Conference on Image Analysis and Signal Processing, 2012
As an extension of 2D SPIHT, 3D SPIHT inherits the properties of 2D SPIHT, and is suited very well large for volume data compression such as video, medical images, and multispectral images. But it still contains a great deal of redundant search, having not fully improved coding speed.
Zhong Cuixiang, Huaung Minghe
openaire   +1 more source

Modified SPIHT encoding for SAR image data

Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096), 1999
Summary form only given. We developed a wavelet-based SAR image compression algorithm which combines tree-structured texture analysis, soft-thresholding speckle reduction, quadtree homogeneous decomposition, and a modified zero-tree coding scheme. First, the tree-structured wavelet transform is applied to the SAR image.
Zhaohui Zeng, Ian G. Cumming
openaire   +1 more source

NEW SPIHT-BASED ALGORITHM FOR ELECTROCARDIOGRAM SIGNAL COMPRESSION

Journal of Mechanics in Medicine and Biology, 2019
In this paper, we propose an electrocardiogram (ECG) signal compression algorithm that is based on wavelet and a new modified set partitioning in hierarchical trees (SPIHT) algorithm.
Abdelnour Boukaache   +2 more
semanticscholar   +1 more source

Compression of Mammography Image by SPIHT and Fractals

2011
The use of all types of Radio image, Echo, MRI... poses a major problem of storage and of filing as example a hospital of 200 beds produces each year 875 Gb of data and so of such images must be transmitted via a network; the duration of transmission is often too long; as a stage has all these problems; compression becomes an operation imperative and ...
Benterki Soumya, Guemou Bouabdellah
openaire   +1 more source

A modified listless strip based SPIHT for wireless multimedia sensor networks

Computers and Electrical Engineering, 2016
Hanaa zaineldin   +2 more
exaly   +2 more sources

ROI based Medical Image Compression using DWT and SPIHT Algorithm

2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019
In an image the spatial region always assumes higher priority compared to other regions. Different image compression methods have the capability of providing higher reconstruction quality of important parts of the image.
Arka Provo Mukhopadhyay   +2 more
semanticscholar   +1 more source

Multichannel EEG compression based on ICA and SPIHT

Biomedical Signal Processing and Control, 2015
Abstract In this paper, we propose a novel approach for the compression of multichannel electroencephalograph (EEG) signals. The method assumes that EEG signals are the linear mixture of several independent components (ICs). To retain the ICs, the proposed scheme first applies an independent component analysis (ICA) with a preprocessing step of ...
Lei Lin   +3 more
openaire   +1 more source

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