Research Article
A Novel Statistical Fusion Rule for Image Fusion in Non Subsampled Contourlet Transform Domain
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@INPROCEEDINGS{10.1007/978-3-642-27317-9_38, author={V. Manu and Philomina Simon}, title={A Novel Statistical Fusion Rule for Image Fusion in Non Subsampled Contourlet Transform Domain}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III}, proceedings_a={CCSIT PART III}, year={2012}, month={11}, keywords={Non Subsampled Contourlet Transform Weighted Average Merging Method Statistical Fusion Rule Wavelet Piella Metric}, doi={10.1007/978-3-642-27317-9_38} }- V. Manu
Philomina Simon
Year: 2012
A Novel Statistical Fusion Rule for Image Fusion in Non Subsampled Contourlet Transform Domain
CCSIT PART III
Springer
DOI: 10.1007/978-3-642-27317-9_38
Abstract
Image fusion provides an efficient way to merge the visual information from different images. A new method for image fusion is proposed based on Weighted Average Merging Method (WAMM) in the Non Subsampled Contourlet Transform domain. A performance analysis on various statistical fusion rules are also analysed. Analysis has been made on medical images, remote sensing images and multi focus images. Experimental results shows that the proposed method, WAMM obtained better results in NSCT domain than the wavelet domain as it preserves more edges and keeps the visual quality intact in the fused image.
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