NDLI: Image filtering using hyperstable adaptive algorithms

Content Provider	IEEE Xplore Digital Library
Author	Tan, A.C. Sheng-Tsai Chen Basu, S.
Copyright Year	1992
Abstract	In view of recent interest in applications of adaptive filtering of multidimensional (m-D) signals in practical problems such as video compression and image enhancement, implementation of a class of m-D infinite 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 the first time. Aside from implementing the previously introduced m-D HARF algorithm, we also introduce and implement other variants of the algorithm that are conceptually more transparent, computationally less expensive, 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 computational complexities for both sequential and for parallel implementation, whenever appropriate. Performances of these new algorithms are also studied both theoretically and experimentally.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	358
Ending Page	370
Page Count	13
File Size	496964
File Format	PDF
ISSN	10577130
Volume Number	44
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-05-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Filtering Adaptive algorithm IIR filters Multidimensional systems Video compression Image enhancement Convergence Image converters Computational complexity
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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