원문정보
초록
영어
As a novel multi-scale geometrical analysis theory, non-subsampled shearlet transform (NSST) own much better competences of image processing. An adaptive technique for image fusion based on NSST-spatial frequency (SF)-human visual factor (HVF) is proposed in this paper. Each source image can be converted into corresponding multi-scale and multi-directional frameworks via NSST. SF and HVF are utilized to conduct the fusion courses of low-frequency and high-frequency sub images, respectively. Besides, an adaptive fusion algorithm based on NSST is devised. Finally, the final fused image can be obtained by using inverse NSST. Simulation experimental demonstrates that, compared with other classic techniques, the proposed technique has much better performance in terms of visual performance and information capturing.
목차
1. Introduction
2. NSST Basic Model
3. Image adaptive fusion frame based on NSST
3.1. Low-Frequency Microcosmic Subband Image Fusion
3.2. High-Frequency Microcosmic Subband Image Fusion
4. Proposed Technique
5. Experimental Results and Analysis
5.1. Experimental Condition
5.2. Experimental Results and Analysis
6. Conclusion
Acknowledgements
References