IMAGE FILTERING USING HYPERSTABLE ADAPTIVE ALGORITHMS

In view of recent interest in applications of adaptive filtering of mu ltidimensional (m-D) signals in practical problems such as video compr ession and image enhancement, implementation of a class of m-D infinit e impulse response, adaptive, hyperstable filters is undertaken, While the theoretical results on convergence of such schemes have been made available in our recent work On the topic, the present paper reports our experiments with enhancement of noise-corrupted images for tile fi rst time, Aside from implementing the previously introduced m-D HARF a lgorithm, we also introduce and implement other variants of the algori thm that are conceptually more transparent, computationally less expen sive, or converge faster, The new algorithms emerging from this study, namely, the modified m-D HARF and the m-D SHARF are compared with the earlier m-D HARF algorithm by; explicitly deriving measures of comput ational complexities for both sequential and for parallel implementati on, whenever appropriate, Performances of these nem algorithms are als o studied both theoretically and experimentally.