Space-variant restoration with sliding discrete cosine transform

Authors:
Vitaly Kober;Jacobo Gomez Agis
Affiliations:
Department of Computer Science, CICESE, Ensenada, B.C. , Mexico;Department of Computer Science, CICESE, Ensenada, B.C. , Mexico
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

Citing 6
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Abstract

A local adaptive restoration technique using a sliding discrete cosine transform (DCT) is presented. A minimum mean-square error estimator in the domain of a sliding DCT for image restoration is derived. The local restoration is performed by pointwise modification of local DCT coefficients. To provide image processing in real time, a fast recursive algorithm for computing the sliding DCT is utilized. The algorithm is based on a recursive relationship between three subsequent local DCT spectra. Computer simulation results using a real image are provided and compared with that of common restoration techniques.