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    AuthorPandya, Sweta A. (1)Ranipa, Keyur R. (1)Sharma, Monika (1)Singh, Vineet P. (1)Subject
    Digital techniques (4)
    Image processing (4)
    Multimedia systems (4)
    Image reconstruction (2)Computer graphics (1)Computer Imaging (1)Content based image retrieval (1)Data processing (1)Database management (1)Digital video (1)... View MoreDate Issued2011 (2)2009 (1)2010 (1)Has File(s)Yes (4)

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    New learning based super resolution using contourlet transform 

    Singh, Vineet P. (Dhirubhai Ambani Institute of Information and Communication Technology, 2009)
    new learning based super-resolution reconstruction using contourlet transforms is proposed. contourlet transform provides high degree of directionality. It captures geometrical smoothness along multiple directions and ...
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    Image ranking based on clustering 

    Sharma, Monika (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
    In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
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    Object segmentation in still camera videos 

    Pandya, Sweta A. (Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
    The goal of object segmentation is to simplify and change the representation of an image into more meaningful so that it can easily analyse. Segmentation is the process of partitioning the digital image into multiple ...
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    Practical approach for depth estimation and image restoration using defocus cue 

    Ranipa, Keyur R. (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
    Reconstruction of depth from 2D images is an important research issue in computer vision. Depth from defocus (DFD) technique uses space varying blurring of an image as a cue in reconstructing the 3D structure of a scene. ...

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