원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.10
2015.10
pp.363-374
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Image denoising is the modern problems often encountered in the image processing technology, the denoising algorithm puts forward in this paper is mainly using the characteristics that wavelet transform is suitable for processing point strange and finite element transformation line is suitable for processing some strange, and adopt the method of image partition to separate the image into homogeneous blocks and non homogenous blocks, use wavelet transform to process the homogenous blocks, and finite element method processes non homogenous block, the experimental results show that this method has better denoising effect, should have good practical value.
목차
Abstract
1. Introduction
2. Related Works
2.1 Finite Element Algorithm based on Impulse Noise Detection
2.2 Based on Noise Estimation of Two-dimensional Fractional Wavelet Transform Filter Algorithm
3. Mixed Image Denoising Model
4. Experiment and Analysis
5. Conclusion
References
1. Introduction
2. Related Works
2.1 Finite Element Algorithm based on Impulse Noise Detection
2.2 Based on Noise Estimation of Two-dimensional Fractional Wavelet Transform Filter Algorithm
3. Mixed Image Denoising Model
4. Experiment and Analysis
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보