Generation random fields image von rani sandhya (7 Ergebnisse)
- Softcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 58,22
EUR 3,49 VersandVersand innerhalb von USAAnzahl: 4 verfügbar
Zustand: New.
- Softcover
- Print-on-Demand
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 57,45
EUR 7,54 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 4 verfügbar
Zustand: New. Print on Demand.
- Softcover
- Print-on-Demand
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 57,60
EUR 9,95 VersandVersand von Deutschland nach USAAnzahl: 4 verfügbar
Zustand: New. PRINT ON DEMAND.
- Softcover
- Print-on-Demand
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 43,90
EUR 23,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Filtering is perhaps the most fundamental operation of image processing and computer vision. In the broadest sense of the term 'filtering', the value of the filtered image at a given location is a function of the values of the input i…mage in a small neighborhood of the same location. A fast implementation of bilateral filtering is presented, which is based on an optimal expansion of the filter kernel into a sum of factorized terms. The terms in this expansion are computed by minimizing the expansion error in the mean-square error sense. This leads to a simple and elegant solution in terms of eigenvectors of a square matrix. In this way, the bilateral filter is applied through computing a few Gaussian convolutions, for which very efficient algorithms are readily available. Proposed system the expansion functions are optimized for the histogram of the input image, leading to improved accuracy. In low contrast images are noise were not removed exactly,so by using markow random fields to denoising the image to get it's original image. 84 pp. Englisch.
- Softcover
- Print-on-Demand
Anbieter: moluna, Greven, Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 37,23
EUR 45,00 VersandVersand von Deutschland nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Filtering is perhaps the most fundamental operation of image processing and computer vision. In the broadest sense of the term filtering , the value of the filtered image at a given location is a function of the values…of the input image in a small neighbo.
- Softcover
- Print-on-Demand
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 43,90
EUR 60,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Filtering is perhaps the most fundamental operation of image processing and computer vision. In the broadest sense of the term 'filtering', the value of the filtered image at a given location is a function of the values of the input image… in a small neighborhood of the same location. A fast implementation of bilateral filtering is presented, which is based on an optimal expansion of the filter kernel into a sum of factorized terms. The terms in this expansion are computed by minimizing the expansion error in the mean-square error sense. This leads to a simple and elegant solution in terms of eigenvectors of a square matrix. In this way, the bilateral filter is applied through computing a few Gaussian convolutions, for which very efficient algorithms are readily available. Proposed system the expansion functions are optimized for the histogram of the input image, leading to improved accuracy. In low contrast images are noise were not removed exactly,so by using markow random fields to denoising the image to get it's original image.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
- Softcover
- Print-on-Demand
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 44,59
EUR 60,72 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Filtering is perhaps the most fundamental operation of image processing and computer vision. In the broadest sense of the term 'filtering', the value of the filtered image at a given location is a function of the values of the input image…in a small neighborhood of the same location. A fast implementation of bilateral filtering is presented, which is based on an optimal expansion of the filter kernel into a sum of factorized terms. The terms in this expansion are computed by minimizing the expansion error in the mean-square error sense. This leads to a simple and elegant solution in terms of eigenvectors of a square matrix. In this way, the bilateral filter is applied through computing a few Gaussian convolutions, for which very efficient algorithms are readily available. Proposed system the expansion functions are optimized for the histogram of the input image, leading to improved accuracy. In low contrast images are noise were not removed exactly,so by using markow random fields to denoising the image to get it's original image.
