Research
Multifocus image fusion scheme based on feature contrast in the lifting stationary wavelet domain
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* Corresponding author: Shanbi Wei weishanbi@126.com
1 College of Automation, Chongqing University, Chongqing 400044, P.R. China
2 State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044, P.R. China
EURASIP Journal on Advances in Signal Processing 2012, 2012:39 doi:10.1186/1687-6180-2012-39
Published: 21 February 2012Abstract
For fusion of multifocus images, a novel image fusion method based on multiscale products in lifting stationary wavelet (LSWT) domain is proposed in this article. In order to avoid the influence of noise and select the coefficients of the fused image properly, different subband coefficients employ different selection principles. For choosing the low frequency subband coefficients, a new modified energy of Laplacian (EOL) is proposed and used as the focus measure to select the coefficients from the clear parts of the low frequency subband images; when choosing the high frequency subband coefficients, a novel feature contrast measurement of the multiscale products is proposed, which is proved to be more suitable for fusion of multifocus images than the traditional contrast measurement, and used to select coefficients from the sharpness parts of the high frequency subbands. Experimental results demonstrate that the proposed fusion approach outperforms the traditional discrete wavelet transform (DWT)-based, LSWT-based and LSWT-traditional-contrast-(LSWT-Tra-Con)-based image fusion methods, even though the source images are corrupted by a Gaussian noise, in terms of both visual quality and objective evaluation.
