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  • Blocking artifact reduction in compressed images based on edge-adaptive quadrangle meshes

    Author(s)
    Gan, XC
    Liew, AWC
    Yan, H
    Griffith University Author(s)
    Liew, Alan Wee-Chung
    Year published
    2003
    Metadata
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    Abstract
    During image deblocking, the preservation of visually significant edges in the image is important. Based on the observation that blocking artifact along edge direction is difficult for human perception, a number of existing techniques have proposed to filter the edge pixels with low weight or bypass them altogether to avoid blurring. However, the un-processed artifacts that are anti-parallel to the edge direction often fragment the edges and seriously degrade visual quality. In this paper, by considering the behavior of intensity evolution along and across edges, we propose a new POCS-based algorithm using a new smoothness ...
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    During image deblocking, the preservation of visually significant edges in the image is important. Based on the observation that blocking artifact along edge direction is difficult for human perception, a number of existing techniques have proposed to filter the edge pixels with low weight or bypass them altogether to avoid blurring. However, the un-processed artifacts that are anti-parallel to the edge direction often fragment the edges and seriously degrade visual quality. In this paper, by considering the behavior of intensity evolution along and across edges, we propose a new POCS-based algorithm using a new smoothness constraint set. The new constraint set is realized indirectly by limiting the distance between the coded image and the image simulated using edge-adaptive quadrangle meshes. Experimental results indicated that our method compares favorably with several existing techniques.
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    Journal Title
    Journal of Visual Communication and Image Representation
    Volume
    14
    Issue
    4
    Publisher URI
    http://www.sciencedirect.com/science/journal/10473203
    DOI
    https://doi.org/10.1016/S1047-3203(03)00044-0
    Subject
    Artificial Intelligence and Image Processing
    Design Practice and Management
    Visual Arts and Crafts
    Publication URI
    http://hdl.handle.net/10072/21806
    Collection
    • Journal articles

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