원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.10 No.9
2016.09
pp.27-34
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Digital image processing is used widely and in various fields, and noise occurs for various external reasons such as channel transmission error. Generally, mixed noise is the mixture of salt and pepper noise and Gaussian noise, and the existing methods have insufficient noise removal features due to the limitation of filters. So this paper proposed an algorithm to use noise density of a local mask in order to remove mixed noise effectively. The simulation results showed the proposed algorithm had greater noise removal functions and energy conservation features compared to existing methods.
목차
Abstract
1. Introduction
2. Proposed Algorithm
2.1. Decision on Noise
2.2. Salt and Pepper Noise Removal
2.3. AWGN Noise Removal
3. Simulation Results
4. Conclusion
References
1. Introduction
2. Proposed Algorithm
2.1. Decision on Noise
2.2. Salt and Pepper Noise Removal
2.3. AWGN Noise Removal
3. Simulation Results
4. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보