Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image.
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Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image. 128 pp. Englisch. Bestandsnummer des Verkäufers 9783659466779
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Bestandsnummer des Verkäufers 9783659466779
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image. Bestandsnummer des Verkäufers 9783659466779
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Taschenbuch. Zustand: Neu. Hybrid Fractal Image Compression using YIQ color space and DCT | Color Image Compression using Fractal Method | Zena H. Khalil (u. a.) | Taschenbuch | 128 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659466779 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 104749658
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