Paper
1 July 2011 Multifocus image fusion scheme based on nonsubsampled contourlet transform
Xinxing Zhou, Dianhong Wang, Zhijuan Duan, Dongming Li
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800904 (2011) https://doi.org/10.1117/12.896148
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
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 NSCTbased fusion algorithms in terms of visual appearances and objective criterion.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinxing Zhou, Dianhong Wang, Zhijuan Duan, and Dongming Li "Multifocus image fusion scheme based on nonsubsampled contourlet transform", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800904 (1 July 2011); https://doi.org/10.1117/12.896148
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image fusion

Fusion energy

Visual system

Visualization

Discrete wavelet transforms

Algorithm development

Neural networks

RELATED CONTENT


Back to Top