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Sinopsis
FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. It uses natural severance among wavelet coefficients and it is right for both gray and color images. The SPIHT algorithm offers considerably improved quality over other image compression techniques. It arranges the wavelet coefficients according to a significant test and stores this information in new sheet. Using the pixel values of an input image, the image is decomposed into four sub bands using DWT. Then, the decomposed image is compressed using SPIHT code. The compressed image thus obtained is implemented using FPGA kit. SPIHT has a simple coding method and requires no processing tables. These make SPIHT coding is a more suitable algorithm for FPGA kit implementation operation. The future scope of this module is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques. This method can be further enhanced by the implementation of Field Programmable Gate Array kit.
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Reseña del editor
FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. It uses natural severance among wavelet coefficients and it is right for both gray and color images. The SPIHT algorithm offers considerably improved quality over other image compression techniques. It arranges the wavelet coefficients according to a significant test and stores this information in new sheet. Using the pixel values of an input image, the image is decomposed into four sub bands using DWT. Then, the decomposed image is compressed using SPIHT code. The compressed image thus obtained is implemented using FPGA kit. SPIHT has a simple coding method and requires no processing tables. These make SPIHT coding is a more suitable algorithm for FPGA kit implementation operation. The future scope of this module is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques. This method can be further enhanced by the implementation of Field Programmable Gate Array kit.
Biografía del autor
Dr. N. Muthukumaran was born in Kaniyakumari, Tamilnadu, India, in 1984. He received the B.E, M.E and Ph.D Degree from Anna University, Chennai, India. He is currently working as an Professor, Anna University Recognized as a Research Supervisor for guiding Ph.D, & Research centre lab, Francis Xavier Engineering College, Tamilnadu, India.
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FPGA Implementation of Image Compression and Retrieval
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Scholars' Press Sep 2017, 2017
ISBN 10: 6202301309
ISBN 13: 9786202301305
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. It uses natural severance among wavelet coefficients and it is right for both gray and color images. The SPIHT algorithm offers considerably improved quality over other image compression techniques. It arranges the wavelet coefficients according to a significant test and stores this information in new sheet. Using the pixel values of an input image, the image is decomposed into four sub bands using DWT. Then, the decomposed image is compressed using SPIHT code. The compressed image thus obtained is implemented using FPGA kit. SPIHT has a simple coding method and requires no processing tables. These make SPIHT coding is a more suitable algorithm for FPGA kit implementation operation. The future scope of this module is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques. This method can be further enhanced by the implementation of Field Programmable Gate Array kit. 52 pp. Englisch. Nº de ref. del artículo: 9786202301305
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FPGA Implementation of Image Compression and Retrieval
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumaran MuthuDr. N. Muthukumaran was born in Kaniyakumari, Tamilnadu, India, in 1984. He received the B.E, M.E and Ph.D Degree from Anna University, Chennai, India. He is currently working as an Professor, Anna University Recognized . Nº de ref. del artículo: 174674951
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FPGA Implementation of Image Compression and Retrieval
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. It uses natural severance among wavelet coefficients and it is right for both gray and color images. The SPIHT algorithm offers considerably improved quality over other image compression techniques. It arranges the wavelet coefficients according to a significant test and stores this information in new sheet. Using the pixel values of an input image, the image is decomposed into four sub bands using DWT. Then, the decomposed image is compressed using SPIHT code. The compressed image thus obtained is implemented using FPGA kit. SPIHT has a simple coding method and requires no processing tables. These make SPIHT coding is a more suitable algorithm for FPGA kit implementation operation. The future scope of this module is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques. This method can be further enhanced by the implementation of Field Programmable Gate Array kit. Nº de ref. del artículo: 9786202301305
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FPGA Implementation of Image Compression and Retrieval
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ISBN 10: 6202301309
ISBN 13: 9786202301305
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. It uses natural severance among wavelet coefficients and it is right for both gray and color images. The SPIHT algorithm offers considerably improved quality over other image compression techniques. It arranges the wavelet coefficients according to a significant test and stores this information in new sheet. Using the pixel values of an input image, the image is decomposed into four sub bands using DWT. Then, the decomposed image is compressed using SPIHT code. The compressed image thus obtained is implemented using FPGA kit. SPIHT has a simple coding method and requires no processing tables. These make SPIHT coding is a more suitable algorithm for FPGA kit implementation operation. The future scope of this module is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques. This method can be further enhanced by the implementation of Field Programmable Gate Array kit.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Nº de ref. del artículo: 9786202301305
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FPGA Implementation of Image Compression and Retrieval
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Taschenbuch. Condición: Neu. FPGA Implementation of Image Compression and Retrieval | Muthu Kumaran | Taschenbuch | Englisch | 2017 | Scholars' Press | EAN 9786202301305 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 113380029
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