ISBN: 9783330036765 - dust detection & removal from identified source camera image (5 Ergebnisse)

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  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2017

    3330036761 / 9783330036765

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    Paperback. Zustand: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Feb 2017, 2017

    3330036761 / 9783330036765

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    Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this work, technique is proposed to identify dust particles from the camera image. The dust particles on the image are the small noise on the image which is raised when the picture is clicked and at that time dust is there on the lens of camera. In the previous work, salient based bottom up method is applied which will analyze various pixels of the image. The bottom up method will generate salient object on the basis of similarity of the pixels in the image. The pixels which are similar have one matrix and pixels which have dissimilarity have different matrices. To improve accuracy of dust particle detection, ITTI-KOCH algorithm is used in the proposed work. In the algorithm, saliency is designed in which properties of the image is analyzed and pixels which have dissimilarity are put into different matrices and that matrices pixels are marked as noise in the image. 80 pp. Englisch.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2017

    3330036761 / 9783330036765

    • Softcover
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    Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this work, technique is proposed to identify dust particles from the camera image. The dust particles on the image are the small noise on the image which is raised when the picture is clicked and at that time dust is there on the lens of camera. In the previous work, salient based bottom up method is applied which will analyze various pixels of the image. The bottom up method will generate salient object on the basis of similarity of the pixels in the image. The pixels which are similar have one matrix and pixels which have dissimilarity have different matrices. To improve accuracy of dust particle detection, ITTI-KOCH algorithm is used in the proposed work. In the algorithm, saliency is designed in which properties of the image is analyzed and pixels which have dissimilarity are put into different matrices and that matrices pixels are marked as noise in the image.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2017

    3330036761 / 9783330036765

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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma ReechaReecha Sharma did her Ph.D. in Image Processing from Punjabi University Patiala, India. She has 11 years of teaching experience in Punjabi University Patiala. She has published More than 40 research papers. in Internatio. …

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Feb 2017, 2017

    3330036761 / 9783330036765

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    Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this work, technique is proposed to identify dust particles from the camera image. The dust particles on the image are the small noise on the image which is raised when the picture is clicked and at that time dust is there on the lens of camera. In the previous work, salient based bottom up method is applied which will analyze various pixels of the image. The bottom up method will generate salient object on the basis of similarity of the pixels in the image. The pixels which are similar have one matrix and pixels which have dissimilarity have different matrices. To improve accuracy of dust particle detection, ITTI-KOCH algorithm is used in the proposed work. In the algorithm, saliency is designed in which properties of the image is analyzed and pixels which have dissimilarity are put into different matrices and that matrices pixels are marked as noise in the image.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…