Multifocus image fusion scheme based on nonsubsampled contourlet transform

摘要：

This paper proposes a novel multifocus image fusion scheme based on nonsubsampled contourlet transform (NSCT). The selection principles for different subband coefficients in NSCT domain are discussed in detail. In order to be consistent with the characteristics of the human visual system and improve the robustness of the fusion algorithm to the noise, the NSCT-DCT energy is first developed. Based on it, the clarity measure and bandpass energy contrast are defined and employed to motivate the pulse coupled neural networks (PCNN) for the fusion of lowpass and bandpass subbands, respectively. The performance of the proposed fusion scheme is assessed by experiments and the results demonstrate that the algorithm proposed in the paper compares favorably to wavelet-based, contourlet-based and NSCT-based fusion algorithms in terms of visual appearances and objective criterion.

关键词： image fusion nonsubsampled contourlet transform (NSCT) NSCT-DCT energy bandpass energy contrast pulse coupled neural networks (PCNN).

作者: Xinxing Zhou Dianhong Wang Zhijuan Duan Dongming Li

作者单位: Institute of Geophysics and Geomatics China University of Geosciences (Wuhan) Wuhan 430074, China Faculty of Mechanical and Electronic Information China University of Geosciences (Wuhan) Wuhan 43007

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 18-23

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）