Title :
Threshold pattern filters for image enhancement
Author :
Pak-Cheung Lai ; Bing Zeng
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
Threshold Boolean filters (TBFs) constitute large class of non-linear filters that are very effective in removing impulsive noise. However, the required computational complexity is also high because thresholding has to be done at all levels. In this paper, a new kind of filters based on threshold operation is proposed. The proposed filters, referred as threshold pattern filters (TPFs), threshold the filter window only at some levels. A TPF picks a sample within the window as the output based on the threshold patterns obtained. An efficient MAE-based training method for designing TPFs is proposed. Simulation results show that the performance of TPFs is comparable to that of the corresponding TBFs, when they are applied to enhance images corrupted by mixed noise.
Keywords :
Boolean functions; computational complexity; image enhancement; impulse noise; MAE-based training method; computational complexity; image enhancement; impulsive noise; nonlinear filters; threshold Boolean filters; threshold operation; threshold pattern filters; Boolean functions; Computational complexity; Councils; Design methodology; Filtering; Filters; Image enhancement; Sorting;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.822933