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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659466779
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Taschenbuch. Etat : 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. N° de réf. du vendeur 9783659466779
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659466779
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104749658
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