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A new two-dimensional block adaptive FIR filtering algorithm and its application to image restoration
Wang, T.; Chin-Liang Wang;
Image Processing, IEEE Transactions on
Volume 7,
Issue 2,
Feb. 1998
Page(s):238
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246
Abstract:
This paper presents a new two-dimensional (2-D) optimum block stochastic gradient (TDOBSG) algorithm for 2-D adaptive finite impulse response (FIR) filtering. The TDOBSG algorithm employs a space-varying convergence factor for all the filter coefficients, where the convergence factor at each block iteration is optimized in a least squares sense that the squared norm of the a posteriori estimation error vector is minimized. It has the same order of computational complexity as another 2-D optimum block adaptive (TDOBA) algorithm. Computer simulations for image restoration show that the TDOBSG algorithm outperforms the TDOBA algorithm and other related algorithms in terms of objective and/or subjective measures
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