Image Fusion Using Pca by Sharma Reecha (6 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2017

      6202005866 / 9786202005869

      • Softcover

      Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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      Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2017

      6202005866 / 9786202005869

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Image Fusion Using PCA And Directional Discrete Cosine Transform | Reecha Sharma (u. a.) | Taschenbuch | 60 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202005869 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2017

      6202005866 / 9786202005869

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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      paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Aug 2017, 2017

      6202005866 / 9786202005869

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image fusion is a technique that integrate complimentary details from multiple input images such that the new image give more information and more suitable for the purpose of human visual perception. Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D discrete cosine transform (DCT) of a square block shape. With almost no exception, this conventional DCT is implemented separately through two 1-D transforms, one along the vertical direction and another along the horizontal direction. We develop a new block-based DCT framework in which the first transform may choose to follow a direction other than the vertical or horizontal one. The coefficients produced by all directional transforms in the first step are arranged appropriately so that the second transform can be applied to the coefficients that are best aligned with each other. Compared with the conventional DCT, the resulting directional DCT framework is able to provide a better coding performance for image blocks that contain directional edges-a popular scenario in many image signals. 60 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2017

      6202005866 / 9786202005869

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma ReechaShe is working as Assistant Professor in ECE department Punjabi University Patiala, India.She has eleven years of teaching experience in Punjabi University Patiala. She has published More than 50 research papers in Inter.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Aug 2017, 2017

      6202005866 / 9786202005869

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image fusion is a technique that integrate complimentary details from multiple input images such that the new image give more information and more suitable for the purpose of human visual perception. Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D discrete cosine transform (DCT) of a square block shape. With almost no exception, this conventional DCT is implemented separately through two 1-D transforms, one along the vertical direction and another along the horizontal direction. We develop a new block-based DCT framework in which the first transform may choose to follow a direction other than the vertical or horizontal one. The coefficients produced by all directional transforms in the first step are arranged appropriately so that the second transform can be applied to the coefficients that are best aligned with each other. Compared with the conventional DCT, the resulting directional DCT framework is able to provide a better coding performance for image blocks that contain directional edges-a popular scenario in many image signals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.