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4th International Conference on Computer Science and Education

作者： Chen, Yutuo Yu, Yi Yang, Zhiru Cent South Univ Forestry & Technol Sch Comp Sci Changsha 410004 Peoples R China Zhuzhou Profess Technol Coll Dept Informat Engn Zhuzhou 412000 Peoples R China

ISBN: (纸本)9781424435197

paper presents a method for color image compression coding by using correlation vectors combined with spiht algorithm. In this method, the Green component of a color image is coded using spiht algorithm, and the other two components are segmented into multi-subregions by quadtree partitioning according to the non-correlation degree of three color components. Based on the calculated correlation vectors between three components in the same subregion, the coding for the other two components becomes the coding of correlation vectors. Experiment results show that this method is of high coding and decoding rates, and with quite good signal to noise ratio, compression rate and visual quality.

关键词： non-smoothness degree non-correlation degree correlation vector spiht algorithm hybrid coding

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Image Compression Based on an Improved spiht algorithm

Image Compression Based on an Improved SPIHT Algorithm

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International Conference on Computer Systems, Electronics and Control (ICCSEC)

作者： Li, Mei-shan Liu, Yue Jiamusi Univ Informat & Elect Technol Inst Jiamusi City 154007 Heilongjiang Peoples R China

ISBN: (纸本)9781538635735

Necessity of image compression is described. Wavelet transform is adopted for image compression. Extensive simulations are performed to justify the choice of the D 9/7 wavelet. spiht (Set Partition in Hierarchical Trees) is chosen for image coding and then improved to address its defects. Desirable PSNR (Power Signal-to-Noise Ratio) is achieved and the image is reconstructed clearly in the MATLAB simulations. Analysis of experimental data indicates that the proposed method achieves considerable improvement in PSNR.

关键词： Wavelet Transform Image Compression spiht algorithm

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Compression of hyperspectral image based on three-dimensional spiht algorithm

Compression of hyperspectral image based on three-dimensiona...

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2nd International Conference on Image and Graphics

作者： Yu, SS Zhang, Y Harbin Inst Technol Dept Elect & Commun Engn Harbin 150001 Peoples R China

ISBN: (纸本)0819446564

In response to the high data volumes of hyperspectral images and high data rates required for their transmission, many hyperspectral data compression methods have been researched in recent years. In this paper, a new compression algorithm for hyperspectral image is proposed, which pays much more attention to its peculiarity of much higher spectral resolution. The new method combines three-dimensional integer wavelet transform and vector quantization, as well as Said and Pearlman's spiht algorithm is extended to three dimensions. The principle of the new method can be explained in three steps. First, three-dimensional integer wavelet transform is performed on the hyperspectral image. Second, spectral vectors are formed on the basis of the orientation features of three-dimensional wavelet coefficients, thus the high spectral dependencies of hyperspectral image can be exploited simultaneously with wavelet tree structure. Third, an algorithm that extends spiht algorithm to three dimensions is used to encode the spectral vectors. In order to test the effectiveness of the proposed algorithm, 32 bands of an AVIRIS image arc used for computer simulation. The results show that the SNR in the reconstructed images can reach more than 40 dB on average at 0.6 bit per pixel, which indicates the proposed algorithm is efficient for the compression of hyperspectral images.

关键词： hyperspectral image integer wavelet transform spiht algorithm

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Wavelet based compression of electrocardiogram using spiht algorithm

Journal of the Institution of Engineers (India), Part CP: Co...

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Journal of the Institution of Engineers (India), Part CP: Computer Engineering Division 2006年第MAY期87卷 46-48页

作者： Shantha, Selva Kumari, R. Sadasivam, V. Department of Electronics and Communication Engineering Mepco Schlenk Engineering College Sivakasi 626 005 India Department of Computer Science and Engineering Manonmanium Sundaranar University Thirunelvelli 627 012 India

Wavelets have emerged as powerful tools for signal compression. Wavelet transform is used to represent the signal to some other time frequency representation, better suited for detection and removing redundancies. Wavelet coefficients are threshold using bit plane coding. Wavelet based compression of electrocardiogram (ECG) based on set partitioning in hierarchical trees algorithm for MIT-BIH arrhythmia database of record 100 is proposed here. Proposed algorithm is significantly more efficient in compression and in computation than the previously proposed algorithm. This also attains exact bit rate control and generates a bit stream progressively in quality.

关键词： ECG signal compression spiht algorithm Wavelets

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Study of the Image Compression based on spiht algorithm

Study of the Image Compression based on SPIHT Algorithm

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2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2010)

作者： Jianxiong Wang college of water resources & hydropower and architecture,yunnan agriculture university Kunming,ChinaFuxia Zhang college of water resources & hydropower and architecture,yunnan agriculture university Kunming,China

Wavelet analysis is internationally recognized up to the minute tools for *** gets an unprecedented development based on Fourier analysis and plays an important role in the signal processing especially in image *** analyzing the relations of the coefficients between each son block and the whole image,we can find the index position of the sub-band of each son block in the same sub-band of the whole image is same as that of the son block in the origin *** the conclusion,an image compression-based on the Set Partition in Hierarchical Tree (spiht) algorithm is principally researched and analyzed in this paper,its algorithm idea and steps is ***,the experiment results show it is a good algorithm for wavelet coefficients compression.

关键词： Wavelet analysis image compression spiht algorithm

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Study of the Image Compression based on spiht algorithm

Study of the Image Compression based on SPIHT Algorithm

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挑战与机遇:2010高校GIS论坛

作者： Jianxiong Wang Fuxia Zhang college of water resources & hydropower and architecture yunnan agriculture university Kunming China

关键词： Wavelet analysis image compression spiht algorithm

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Compression of Remote Sensing Images Using an Improved spiht algorithm

Compression of Remote Sensing Images Using an Improved SPIHT...

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2017 3rd Asian Pacific Conference on Energy, Environment and Sustainable Development(APEESD 2017)

作者： Meishan Li Lihua Sheng Yanchun Ming Information and Electronic Technology Institute Jiamusi University Modern Educational Technology High School Nantong University

It is difficult to store the remote sensing images that feature high resolution and high information capacity. To address this problem, we perform three-level wavelet decomposition on the images using the optimal biorthogonal wavelet. Afterwards, the images are coded via spiht. The spiht algorithm is improved to achieve fixed-scale compression. Extension simulations are conducted. The results show that the proposed method increases PSNR and decreases the compression and decompression time.

关键词： Remote sensing Image Compression spiht algorithm Wavelet Transform

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Wireless spiht-encoded image transmission employing hierarchical modulation: A DSP implementation

Wireless SPIHT-encoded image transmission employing hierarch...

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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Zamkotsian, Martin Peppas, Kostas P. Fovakis, George Lazarakis, Fotis Alexandridis, Antonis Dangakis, Kostas Cottis, Panayotis G. Natl Ctr Sci Res Demokritos Inst Informat & Telecommun Lab Wireless Commun Athens 15310 Greece Natl Tech Univ Athens Dept Elect & Comp Engn GR-15773 Athens Greece

ISBN: (纸本)9781479947966

In this paper, the performance of wireless transmission of spiht-encoded images employing Hierarchical Quadrature Amplitude Modulation (HQAM) is investigated with an experimental test-bed. Two Texas Instruments (TI) Digital Starter Kits (DSK), each one equipped with the floating point DSP chip TMS320C6713, are employed for the system testing, one for the transmitter and one for the receiver. The digital signal processing that formats the information data in preparation for transmission as well as the digital signal processing that recovers the information data at the receiver site are described in detail. Various results measuring bit error rates and peak signal-to-noise ratios are presented to demonstrate the performance of the experimental setup under various channel conditions, for different values of the modulation parameters.

关键词： Hierarchical Quadrature Amplitude Modulation (HQAM) spiht algorithm Discrete Wavelet Transform (DWT) Unequal Error Protection (UEP) Experimental Results Wireless test-bed

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An Improved Image Steganography Method with spiht and Arithmetic Coding 3

An Improved Image Steganography Method with SPIHT and Arithm...

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3rd International Conference on Frontiers in Intelligent Computing - Theory and Applications (FICTA)

作者： Nair, Lekha S. Joshy, Lakshmi M. Amrita Vishwa Vidyapeetham Comp Sci & Engn Amrita Sch Engn Kollam India

ISBN: (纸本)9783319120126;9783319120119

The paper proposes a Steganography scheme which focuses on enhancing the embedding efficiency. There are only limited ways on which one can alter the cover image contents. So, for reaching a high embedding capacity, in the proposed method, the data is compressed using spiht algorithm and Arithmetic Coding. After which the information is embedded into the cover medium. The proposed method suggests an efficient strategy for hiding an image into a cover image of same size without much distortion and could be retrieved back successfully. The advantage of the system is that the cover medium size is reduced to the same size of the input image where in normal cases it is twice or even more. Also the cover image could be recovered from the original stego-image.

关键词： DWT spiht algorithm ARITHMETIC Coding Rhombus Prediction Scheme

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An Improved spiht Wavelet Transform in the Underwater Acoustic Image Compression

An Improved SPIHT Wavelet Transform in the Underwater Acoust...

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2nd International Conference on Measurement, Information and Control (ICMIC)

作者： Li Bin Meng Qinggang Heilongjiang Inst Technol Elect Engn Harbin Peoples R China

ISBN: (纸本)9781479913909

The constraints of traditional wavelet filters and wavelet coefficients such as it can not be based on the input signal changes, combined with underwater acoustic channel transmission and imaged sonar principles causes the sharp edges or the presence of singular points of piecewise smooth sound effects far from ideal. To deal with these shortcomings, this paper proposes an improved SPIRT algorithm which image most of the energy is concentrated in the low frequency sub-band after wavelet transform. Though SPIRT algorithm diversity redundancy judgment rule which is located in the low frequency sub-band Wavelet coefficients resulting in a code scanning initial zerotree and producing more unnecessary sign bit is relatively large. Using the methods and diversity judgment rules of changing the original algorithm in wavelet tree construction, which can reduce the initial stage of the zero-tree scan number and redundancy of diversity judgments resulting as well as improve the coding efficiency. Matlab language is used to achieve the analysis of underwater acoustic image compression. As the comparing results showed that the improved adaptive wavelet transform algorithm reduce the wavelet transform coefficients to obtain more ideal compression ratio at a certain extent. To ensure the stability of the transformation process, the acoustic image compression method has a good application value.

关键词： image compressing spiht algorithm

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