Image processing

Results: 8365



#Item
61

v0.5 IPOL article class Published in Image Processing On Line on 2014–11–17. Submitted on 2013–03–13, accepted on 2014–04–29. c 2014 IPOL & the authors CC–BY–NC–SA ISSN 2105–1232

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Source URL: www.ipol.im

- Date: 2014-11-17 09:42:49
    62

    Video Optimization Leader Beamr Announces New Funding from Verizon Ventures TEL AVIV, ISRAEL – December 6, 2016 – Beamr Imaging Ltd., the only video and image encoding and processing company with commercially deploye

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    Source URL: media2.beamrvideo.com

    - Date: 2016-12-05 07:49:12
      63

      IMAGE PROCESSING CONSIDERATIONS FOR SIMPLE REAL-TIME RESTRICTOMETRIC FLUID-BASED USER INTERFACES Steve Mann, http://eyetap.org University of Toronto, Department of Electrical and Computer Engineering ABSTRACT The FUNtain

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      Source URL: www.eyetap.org

      - Date: 2006-03-24 01:30:06
        64

        A MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences Showbhik Kaka*, Dilip Krishnan* and M. N. Chong’ *Centrefor Signal Processing Nanyang Techn

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        Source URL: cs.nyu.edu

        - Date: 2009-04-16 15:50:12
          65

          Laboratoire de l’Informatique du Parallélisme École Normale Supérieure de Lyon Unité Mixte de Recherche CNRS-INRIA-ENS LYON-UCBL no 5668 Bi-criteria Pipeline Mappings for Parallel Image Processing

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          Source URL: www.ens-lyon.fr

          - Date: 2008-01-18 09:34:34
            66

            IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 8, AUGUSTvol. 14, M. Kamel, A. Abutaleb, and M. Rasmy, “A gradient based preprocessing

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            Source URL: cs.nyu.edu

            - Date: 2009-04-16 15:51:06
              67

              IEEE SIGNAL PROCESSING LETTERS, VOL. 5, NO. 4, APRILAn Edge-Preserving MRF Model for the Detection of Missing Data in Image Sequences

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              Source URL: cs.nyu.edu

              - Date: 2009-04-16 15:52:51
                68

                2766 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 11, NOVEMBER 2007 A Primal-Dual Active-Set Method for Non-Negativity Constrained Total Variation Deblurring Problems

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                Source URL: www.cs.nyu.edu

                - Date: 2009-04-16 15:44:12
                  69

                  International Journal of Computer Science and Applications, ”Technomathematics Research Foundation Vol. 13, No. 2, pp. 45 – 60, 2016 A NOVEL NEURAL NETWORKS-BASED TEXTURE IMAGE PROCESSING ALGORITHM FOR ORANGE DEFECTS

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                  Source URL: www.tmrfindia.org

                  - Date: 2016-06-21 06:30:21
                    70

                    High-Level Expectations for Low-Level Image Processing Lothar Hotz2 , Bernd Neumann1 , and Kasim Terzic1 1 Cognitive Systems Laboratory, Department Informatik, Universit¨

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                    Source URL: w3.ualg.pt

                    - Date: 2013-01-17 14:55:25
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