Results 141 to 150 of about 244 (177)
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Joint SPIHT compression and selective encryption
Applied Soft Computing, 2014Abstract JCSE-SPIHT, an algorithm of joint compression and selective encryption based on set partitioning in hierarchical trees (SPIHT), is proposed to achieve image encryption and compression simultaneously. It can protect SPIHT compressed images by only fast scrambling a tiny portion of crucial data during the coding process while keeping all the ...
Tao Xiang 0001, Jinyu Qu, Di Xiao 0001
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SPIHT implemented in a XC4000 device
The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002., 2003In 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
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Vector Quantization in SPIHT Image Codec
2006The image coding algorithm “Set Partitioning in Hierarchical Trees (SPIHT)” introduced by Said and Pearlman achieved an excellent rate-distortion performance by an efficient ordering of wavelet coefficients into subsets and bit plane quantization of significant coefficients.
Rafi Mohammad, Christopher F. Barnes
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An effective improvement on 3D SPIHT
2012 International Conference on Image Analysis and Signal Processing, 2012As 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
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Modified SPIHT encoding for SAR image data
Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096), 1999Summary 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
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Compression of Mammography Image by SPIHT and Fractals
2011The 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
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A Block-Based Pass-Parallel SPIHT Algorithm
IEEE Transactions on Circuits and Systems for Video Technology, 2012Set-partitioning in hierarchical trees (SPIHT) is a widely used compression algorithm for wavelet-transformed images. One of its main drawbacks is a slow processing speed due to its dynamic processing order that depends on the image contents. To overcome this drawback, this paper presents a modified SPIHT algorithm called block-based pass-parallel ...
Yongseok Jin, Hyuk-Jae Lee
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Generalization of SPIHT: Set Partition Coding System
IEEE Transactions on Image Processing, 2016This paper constructs a set partition coding system (SPACS) to combine the advantages of different types of set partition coding algorithms. General tree (GT) is an important conception introduced in this paper, which can represent tree set and square set simultaneously.
Qiufu Li +4 more
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Iris recognition with image compression using SPIHT
Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010Iris recognition is used to identify people. A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Commercial iris recognition systems are used, to allow access to secure areas, and for secure access to computer networks.
Archana J. Gawad, Shoba Krishnan
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Modified SPIHT wavelet compression for ECG signal
Journal of Medical Engineering & Technology, 2007This paper presents a modified version of Set Partitioning In Hierarchical Trees (SPIHT) wavelet compression method, which has been developed for ECG signal compression. Two more steps in the existing technique have been added to achieve higher compression ratio (CR) and lower percentage rms difference (PRD).
M, Singh, V, Kumar, S C, Saxena
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