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    AuthorKatare, Aradhana (1)Londhe, Tushar (1)Rawat, Nitin (1)Ray, Anuradha (1)Sattaru, Annamnaidu (1)Shah, Hina Rajiv (1)Shah, Pratik P. (1)Singh, Vineet P. (1)Suryanarayana, P. V. (1)Tatu, Aditya (1)Subject
    Image processing (10)
    Digital techniques (4)Image reconstruction (3)Imaging systems (3)Optical data processing (3)Data processing (2)Image segmentation (2)Multimedia systems (2)Optical pattern recognition (2)Wavelets (2)... View MoreDate Issued2005 (4)2008 (3)2004 (1)2006 (1)2009 (1)Has File(s)Yes (10)

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    Fractal based approach for image segmentation 

    Londhe, Tushar (Dhirubhai Ambani Institute of Information and Communication Technology, 2004)
    In this thesis, we have proposed an algorithm for image segmentation, using the fractal codes. The basic idea behind this algorithm is to use fractal codes for the image segmentation. This method uses compressed codes ...
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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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    FPGA implementation of image compression algorithm using wavelet transform 

    Rawat, Nitin (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
    This work presents FPGA implementation of image compression algorithm by using wavelet transform. Here the emphasis has been made on algorithmic encoding, the first step of image compression problem. The transform that has ...
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    Active contours in action 

    Shah, Pratik P. (Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
    There was considerable success in converting images into something like line drawings without resorting to any but the most general prior knowledge about smoothness and continuity. That led to the problem of “grouping” ...
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    Differential geometry and image processing 

    Tatu, Aditya (Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
    There are various ways of observing and interpreting images. At higher levels of abstraction, one looks at an image as collections of objects, while at the other end it is just a collection of curves and surfaces. We study ...
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    Novel architecture for a CMOS low noise amplifier at 2.4 GHz 

    Ray, Anuradha (Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
    Radio frequency design has been one of the major research areas in the recent past. Emergence of several Wireless Communication standards has demanded availability of different analog blocks for use in transceivers with ...
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    Automatic car license plate recognition 

    Suryanarayana, P. V. (Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
    In most traffic applications, someone gathers information manually at the scene or watching the video of a scene. With automatic car license plate recognition using image processing techniques, new ways of capturing traffic ...
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    Content-based image retrieval system for multi-object images using a combination of features 

    Katare, Aradhana (Dhirubhai Ambani Institute of Information and Communication Technology, 2006)
    Content-based image retrieval (CBIR) is a research area dedicated to address the retrieval of images based on automatically derived features from the content of the images in database. Traditional CBIR systems generally ...
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    Object classification in images using information slicing 

    Shah, Hina Rajiv (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
    Human visual system, in real world, identifies objects by their shapes, sizes and colors. More than often we identify objects around us specifically by using contextual knowledge of the objects. For example, an area of ...
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    Single frame superresolution 

    Sattaru, Annamnaidu (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
    Super-resolving an image from single frame observation image. In many cases more than one low resolution observations may not be available, need high spatial resolution images e.g. medical imaging, remote sensing etc.. We ...

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