Space-variant restoration with sliding discrete cosine transform

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 diat of common restoration techniques. © Springer-Verlag Berlin Heidelberg 2007.