원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.10
2015.10
pp.1-10
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Image denoising is a basic problem in image processing, due to the image structure has the characteristic of self-similar, using the ideas of nonlocal, this paper proposes a non-local denoising method based on sparse representation, the structure information of image is improved after denoising, at the same time making similar image tiles have similar sparse representation, image reconstruction effect is better, through the numerical simulation the results show that the method has good application value.
목차
Abstract
1. Introduction
2. Related Works
3. Nonlocal Regularization Sparse Representation Model
4. Experiment and Analysis
5. Conclusion
Acknowledgements
References
1. Introduction
2. Related Works
3. Nonlocal Regularization Sparse Representation Model
4. Experiment and Analysis
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보