원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.4
2013.08
pp.143-164
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
A class of neural filter for image enhancement is proposed in this paper. The proposed intelligent filter is carried out in two stages. In first stage the corrupted image is filtered by applying two special classes of decision based filters. Filtered image outputs from decision based filters are suitably combined with a Feed forward neural network in the second stage. The internal parameters of the feed forward neural network are adaptively optimized by training for three well known images. This is quite effective in eliminating impulse noise. Extensive simulation results show that the proposed filter is superior in terms of eliminating impulse noise as well as preserving edges and the results are compared with other existing filters.
목차
Abstract
1. Introduction
2. Noise Model
3. Proposed Filter
3.1. Decision based Switching Median Filter (DBSMF)
3.2. Nonlinear Filter (NF)
3.4. Feed forward Neural Network
3.5. Training of the Feed Forward Neural Network
3.6. Testing of Unknown Images using Trained Structure of Neural Network
3.7. Filtering of the Noisy Image
4. Results and Discussion
5. Conclusion
References
1. Introduction
2. Noise Model
3. Proposed Filter
3.1. Decision based Switching Median Filter (DBSMF)
3.2. Nonlinear Filter (NF)
3.4. Feed forward Neural Network
3.5. Training of the Feed Forward Neural Network
3.6. Testing of Unknown Images using Trained Structure of Neural Network
3.7. Filtering of the Noisy Image
4. Results and Discussion
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보