원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.2
2015.02
pp.19-28
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, a denoising algorithm and simulation experiments of algorithm based on wavelet transform and support vector machine (SVM) image is proposed, a new method is adopted in the selection of characteristic vector of support vector machine, based on training of support vector machine, the support vector machine model is used to distinguish between noise and the original image, to achieve the effect of denoising. The experimental results show that the method can well remove the noise, and can save some important details of images, compared with other denoising method based on wavelet transform, it has a good advantage.
목차
Abstract
1. Introduction
2. Related Works
3. Image Denoising Process Design
4. Experiment and Analysis
5. Conclusion
References
1. Introduction
2. Related Works
3. Image Denoising Process Design
4. Experiment and Analysis
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보
