원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.2
2014.04
pp.51-60
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Electrical capacitance tomography (ECT) image reconstruction is a typical ill-posed problem. Tikhonov regularization algorithm is one of the popular methods to solve ill-posed problem. Because functional for the standard Tikhonov regularization algorithm is over-smoothness. The reconstruction image could miss edge information and the quality is not ideal. This paper proposes an image fusion algorithm based on Tikhonov regularization algorithm and wavelet transform, which can correct the edge of the reconstruction image. The simulation proves that it can enhance edges and improve the quality of the reconstruction image.
목차
Abstract
1. Introduction
2. ECT Imaging Principle Based on Tikhonov Regularization Algorithm
3. Wavelet Fusion Algorithm Based on Tikhonov Regularization Algorithm
3.1. Decompose Image with Wavelet
3.2. ECT Image Fusion Method Based on Wavelet Decomposition
4. Data Simulation and Result Analysis
5. The Conclusion
Acknowledgements
References
1. Introduction
2. ECT Imaging Principle Based on Tikhonov Regularization Algorithm
3. Wavelet Fusion Algorithm Based on Tikhonov Regularization Algorithm
3.1. Decompose Image with Wavelet
3.2. ECT Image Fusion Method Based on Wavelet Decomposition
4. Data Simulation and Result Analysis
5. The Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보