원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.2
2015.02
pp.11-18
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper mainly studies a kind of different from the traditional signal processing theory, compressed sensing. The theory in the process of data transmission greatly save the space and the cost of storage and transmission is a new breakthrough in the data mining technology. Application of compressed sensing principle, the discrete tracking algorithm combined with matrix learning algorithm, to deal with the noise of original image. Through a large number of experiments show that the fusion algorithm is better than other similar algorithms in terms of denoising, is a better image denoising technique.
목차
Abstract
1. Introduction
2. Related Works
2.1. Discrete Tracking Algorithm
2.2. Matrix Learning Algorithm
3. The Image Denoising Process Design
4. Analysis of Simulation Results
5. Conclusion
References
1. Introduction
2. Related Works
2.1. Discrete Tracking Algorithm
2.2. Matrix Learning Algorithm
3. The Image Denoising Process Design
4. Analysis of Simulation Results
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보
