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In this paper, a novel hierarchical image fusion scheme based on wavelet multi-scale decomposition is presented. The basic idea is to perform a wavelet multi-scale decomposition of each source image first, then the wavelet coefficients of the fused image is constructed using region-based selection and weighted operators according to different fusion rules, finally the fused image is obtained by taking inverse wavelet transform. This approach has been successfully used in image fusion. In addition, with the use of the parameters such as entropy, cross entropy, mutual information, root mean square error, peak-to-peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed. The experimental results show that the fusion scheme is effectual.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guixi Liu and Wanhai Yang "Multiresolution hierarchical image fusion scheme and its peformance evaluation", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003);


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