Paper
11 June 2003 Multiresolution hierarchical image fusion scheme and its peformance evaluation
Guixi Liu, Wanhai Yang
Author Affiliations +
Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467796
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
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); https://doi.org/10.1117/12.467796
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KEYWORDS
Image fusion

Wavelets

Image processing

Discrete wavelet transforms

Image quality

Signal to noise ratio

Target recognition

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