원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.3
2014.06
pp.45-52
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
During the image acquisition and communication the image is corrupted by noise. This is a classical problem in the field of signal or image processing. A new compromise threshold method that improves performance is presented, based on the standard compromise threshold method, yet more flexible and easier to treat mathematically. The improved adaptive wavelet compromise method avoids the discontinuity of the hard-threshold method, at the same time increase the correlation judgment process, improve image details loss problem. Simulation results show that the improved method is better at the adaptability, at the same time increase the correlation judgment process, improve image details loss problem.
목차
Abstract
1. Introduction
2. Wavelet Analysis and Threshold Denoising
3. Improved Adaptive Threshold Denoising
3.1. Threshold Selection
3.2. Correlation Calculation of Wavelet Coefficients
4. Experimental Results and Analysis
5. Conclusion
Acknowledgments
References
1. Introduction
2. Wavelet Analysis and Threshold Denoising
3. Improved Adaptive Threshold Denoising
3.1. Threshold Selection
3.2. Correlation Calculation of Wavelet Coefficients
4. Experimental Results and Analysis
5. Conclusion
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보