DocumentCode :
1270936
Title :
Design of optimal stack filters under the MAE criterion
Author :
Lee, Win-Long ; Fan, Kuo-Chin ; Chen, Zhi-Ming
Author_Institution :
Inst. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan
Volume :
47
Issue :
12
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
3345
Lastpage :
3355
Abstract :
The design of optimal stack filters under the MAE criterion is addressed in this paper. In our work, the Hasse diagram is adopted to represent the positive Boolean functions to solve the optimization problem. After problem transformation, the finding of the optimal stack filter is equivalent to the finding of the optimal on-set such that the total cost of the on-set is minimal. An efficient algorithm is developed that makes use of an important property of the optimal on-set to avoid fruitless search. It thereby greatly reduces the complexity in finding the corresponding optimal stack filter. A design example is illustrated in detail to demonstrate the optimization procedures. The proposed algorithm can generate the optimal stack filter in 1 s for the window size of 14 pixels. It can still generate the optimal stack filter for the window size of 21, although it takes about 4 h. Experimental results for real images reveal that the proposed algorithm essentially extends the maximum filter window size to make the stack filter optimization problem computationally tractable
Keywords :
Boolean functions; circuit optimisation; computational complexity; error analysis; image processing; network synthesis; stack filters; Hasse diagram; MAE criterion; complexity reduction; efficient algorithm; experimental results; optimal on-set; optimal stack filters design; optimization problem solution; pixels; positive Boolean functions; problem transformation; real images; window size; Acceleration; Adaptive filters; Boolean functions; Computational complexity; Computer science; Cost function; Design optimization; Integer linear programming; NP-complete problem; Stacking;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.806078
Filename :
806078
Link To Document :
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