The design and performance analysis of VLSI based Fast Efficient Lossless Image Compression System (FELICS) which involves various methods. The first Block Based Compression Algorithm is used to analyse the images within each pixel before the storage space processes and therefore the size of the memory gets reduced. Second, FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. Third, Satellite communication has been growing for the development of rapid and efficient techniques, for the storage and transmission of satellite images. Finally, the lossless image compression system for VLSI based fast efficient Simplified Adjusted Binary Code and then the Golomb Rice Code algorithm is proposed to present the lossless image compression. 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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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The design and performance analysis of VLSI based Fast Efficient Lossless Image Compression System (FELICS) which involves various methods. The first Block Based Compression Algorithm is used to analyse the images within each pixel before the storage space processes and therefore the size of the memory gets reduced. Second, FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. Third, Satellite communication has been growing for the development of rapid and efficient techniques, for the storage and transmission of satellite images. Finally, the lossless image compression system for VLSI based fast efficient Simplified Adjusted Binary Code and then the Golomb Rice Code algorithm is proposed to present the lossless image compression. 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. 220 pp. Englisch. Nº de ref. del artículo: 9786202310376
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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: 507125508
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The design and performance analysis of VLSI based Fast Efficient Lossless Image Compression System (FELICS) which involves various methods. The first Block Based Compression Algorithm is used to analyse the images within each pixel before the storage space processes and therefore the size of the memory gets reduced. Second, FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. Third, Satellite communication has been growing for the development of rapid and efficient techniques, for the storage and transmission of satellite images. Finally, the lossless image compression system for VLSI based fast efficient Simplified Adjusted Binary Code and then the Golomb Rice Code algorithm is proposed to present the lossless image compression. 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: 9786202310376
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Design and Performance Analysis of VLSI Based FELICS Algorithm | Muthu Kumaran | Taschenbuch | 220 S. | Englisch | 2018 | Scholars' Press | EAN 9786202310376 | Verantwortliche Person für die EU: Scholars Press, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 113728333
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The design and performance analysis of VLSI based Fast Efficient Lossless Image Compression System (FELICS) which involves various methods. The first Block Based Compression Algorithm is used to analyse the images within each pixel before the storage space processes and therefore the size of the memory gets reduced. Second, FPGA kit implementation based on the Set Partitioning in Hierarchical Trees coding algorithm and Discrete Wavelet Transform is used for the compression of images. Third, Satellite communication has been growing for the development of rapid and efficient techniques, for the storage and transmission of satellite images. Finally, the lossless image compression system for VLSI based fast efficient Simplified Adjusted Binary Code and then the Golomb Rice Code algorithm is proposed to present the lossless image compression. 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 220 pp. Englisch. Nº de ref. del artículo: 9786202310376
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Paperback. Condición: Brand New. 220 pages. 8.66x5.91x0.50 inches. In Stock. Nº de ref. del artículo: zk6202310375
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paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA82962023103756
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