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Title: Image information restoration based on long-range correlation
Authors: Zhang, DD 
Wang, Z
Keywords: Block-based image coding
Error concealment
Image information restoration
Impulse noise removal
Long-range correlation
Issue Date: May-2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on circuits and systems for video technology, May 2002, v. 12, no. 5, p. 331-341 How to cite?
Journal: IEEE transactions on circuits and systems for video technology 
Abstract: A new class of image information-restoration algorithms virtually different from traditional techniques are proposed. In comparison with other approaches, our methods not only use the information in local areas, but also that in the remote regions in the image. The methods originate from the idea that there exists abundant long-range correlation within natural images and the human vision systems composed of our eyes and brains can sufficiently utilize such types of information redundancy to implement the functions of image interpretation, representation, restoration, enhancement, and error concealment. Our general approach can be summarized as five basic steps: fetching, searching, matching, competing, and recovering. The experimental results on several practical applications show that our methods perform substantially better than many other state-of-the-art methods.
ISSN: 1051-8215
EISSN: 1558-2205
DOI: 10.1109/TCSVT.2002.1003472
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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