Finite-State Markov Fading Channel Based Dynamic Spectrum Access in Cognitive Radio Networks
- DOI
- 10.2991/meic-15.2015.172How to use a DOI?
- Keywords
- cognitive radio; dynamic spectrum access; FMFC; Markov; channel selection
- Abstract
In order to solve the problem of spectral distortion and the fuzzy texture in visible and infrared image fusion technology, a novel visible and infrared image fusion method based on the Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks (PCNN) is proposed in this paper. First, we gain three components of visible image, luminance I, chrominance H and saturation S, using the IHS transform. Then, we gain three coefficients, low frequency sub-band, passband sub-band and high frequency coefficient by decomposing the component I and infrared image with the help of the NSCT. Next, we use weighted-sum method to fuse the low frequency sub-band and PCNN method to fuse the other sub-band coefficient respectively. At last, we gain the fusion image by using the inverse IHS transform on the fusion component I gained by the inverse NSCT transform. Experiments show that our method have better fusion quality and can be more better to keep the visible spectral and detail information than some traditional methods such as, Laplace method, Wavelet method and Lifting Wavelet method.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yebin Tao AU - Shiding Zhu AU - Lingfang Zou AU - Junye Meng PY - 2015/04 DA - 2015/04 TI - Finite-State Markov Fading Channel Based Dynamic Spectrum Access in Cognitive Radio Networks BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 756 EP - 759 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.172 DO - 10.2991/meic-15.2015.172 ID - Tao2015/04 ER -