IEEE Transactions on Circuits and Systems on Video Technology, vol. 12, no. 5, pp.331-341, May 2002

Image Information Restoration Based on Long-Range Correlation

 Dapeng Zhang1 and Zhou Wang2

1 Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

2 Dept. of Electrical & Computer Engineering, The University of Texas at Austin, Austin TX, USA

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Abstract: A new class of image information restoration algorithms virtually different from traditional techniques are proposed. Our methods are originated 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 kind 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.

Index Terms: image processing, image restoration, image enhancement, error concealment, impulse noise cancellation, blocking effect