Abstract
An adaptive filtering algorithm based on an Euclidean direction search (EDS) method is presented for image restoration. It is a fast algorithm and has a computational complexity of O(N) for least squares optimization. Computer simulations illustrate that this algorithm is very effective in image restoration. The figures for signal-to-noise ratio improvement (SNRI) produced by this algorithm are comparable to those obtained by using the recently reported sample-based conjugate gradient (SCG) algorithm, which has a computational complexity of O(N/sup 2/). This algorithm can also be extended to other applications in adaptive signal processing.
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Schedule a callMore From: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
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