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    Adaptive Representation of JPEG 2000 Images Using Header-based Processing

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    Author
    Neelamani, Ramesh
    Berkner, Kathrin
    Type
    Conference paper
    Keywords
    jpeg2000; wavelets; compression-domain processing; header-based processing; multi-resolution
    Citation
    R. Neelamani and K. Berkner, "Adaptive Representation of JPEG 2000 Images Using Header-based Processing," 2002.
    Abstract
    To bridge the mismatch between the sizes of images and display devices, we present an efficient and automatic algorithm to create an adaptive image representation called SmartNail. Given a digital image and rectangular display frame smaller than the image, we define the SmartNail as an appropriately cropped part of a suitably scaled-down image. We choose the SmartNail-defining parameters - down-scaling factor and cropping location - to maximize a bit-allocation-based cost function that quantifies the visual importance of the image content in the SmartNail. For JPEG 2000-encoded images, the SmartNail parameters can be determined using just the header information available in the encoded file. Hence only the wavelet coefficients required to reconstruct the SmartNail need to be decoded from the entire JPEG 2000 code stream. Consequently, the SmartNail construction requires minimal computations and memory requirements. Simulations demonstrate the effectiveness of SmartNail representations.
    Date
    2002-09-20
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    • DSP Publications [508]
    • ECE Publications [1225]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892