9783330799639 - speeding up fractal image compression von shukur, nagham (6 Ergebnisse)
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Paperback. Zustand: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock.
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Taschenbuch. Zustand: Neu. Speeding up Fractal Image Compression | Nagham Shukur | Taschenbuch | 156 S. | Englisch | 2016 | Noor Publishing | EAN 9783330799639 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Various compression methods have been introduced to achieve high compression ratios and high image qualities in low computational time. Fractal Image Compression is one of the techniques that offers an advantage in reconstructing imag…es of high quality with reasonable compression ratio and fast decoding process. But, on the other hand, the encoding part of this method is considered to be highly time-consuming process. The time consumption is a result of the matching block process used for eight orients. This study proposes a method with new approach of matching with one computed affine transformation to accelerate the encoding time, which increases the efficiency to approximately ten times the traditional method for the same image size and block number. The difference between the encoding time for the two methods is proportional to number of blocks, which leads to high performance. The rate of encoding time with block number is very small compared to the traditional method, which leads to increase in its competitively compared with all other methods. However, the proposed method still produces a comparable reconstructed image quality and compression ratio comparable with original 156 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shukur NaghamNagham J. ShukurM.Sc in Space and Communication Technologies.worked as a lecturer in University of Technology, Applied Sciences Department- Baghdad.research interested field: image processing…, materials sciences, physics.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Various compression methods have been introduced to achieve high compression ratios and high image qualities in low computational time. Fractal Image Compression is one of the techniques that offers an advantage in reconstructing images o…f high quality with reasonable compression ratio and fast decoding process. But, on the other hand, the encoding part of this method is considered to be highly time-consuming process. The time consumption is a result of the matching block process used for eight orients. This study proposes a method with new approach of matching with one computed affine transformation to accelerate the encoding time, which increases the efficiency to approximately ten times the traditional method for the same image size and block number. The difference between the encoding time for the two methods is proportional to number of blocks, which leads to high performance. The rate of encoding time with block number is very small compared to the traditional method, which leads to increase in its competitively compared with all other methods. However, the proposed method still produces a comparable reconstructed image quality and compression ratio comparable with originalBooks on Demand GmbH, Überseering 33, 22297 Hamburg 156 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Various compression methods have been introduced to achieve high compression ratios and high image qualities in low computational time. Fractal Image Compression is one of the techniques that offers an advantage in reconstructing images of… high quality with reasonable compression ratio and fast decoding process. But, on the other hand, the encoding part of this method is considered to be highly time-consuming process. The time consumption is a result of the matching block process used for eight orients. This study proposes a method with new approach of matching with one computed affine transformation to accelerate the encoding time, which increases the efficiency to approximately ten times the traditional method for the same image size and block number. The difference between the encoding time for the two methods is proportional to number of blocks, which leads to high performance. The rate of encoding time with block number is very small compared to the traditional method, which leads to increase in its competitively compared with all other methods. However, the proposed method still produces a comparable reconstructed image quality and compression ratio comparable with original.
