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A Robust Technique for Feature-based Image Mosaicing using Image Fusion

Author(s): Vimal Singh Bind, Priya Ranjan Muduli, Umesh Chandra Pati

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 3;
Issue: 8;
Start page: 263;
Date: 2013;
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Keywords: Mosaicing | Panorama | Image Fusion | SIFT | SURF | DWT

Since last few decades, image mosaicing in real timeapplications has been a challenging field for imageprocessing experts. It has wide applications in the field ofvideo conferencing, 3D imagereconstruction, satelliteimaging and several medical as well as computer visionfields. In this paper, we have proposed a feature basedimage mosaicing technique using image fusion. Initially,the input images are stitched together using the popularstitching algorithms i.e. Scale Invariant FeatureTransform (SIFT) and Speeded-Up Robust Features(SURF). To extract the best features from the stitchingresults, the blending process is done by means of DiscreteWavelet Transform (DWT) using the maximum selectionrule for both approximate as well as detail-components.The SIFT provides scale as well as rotational invarianceproperty. The SURF provides better computation speed andillumination invariance. The robustness and quality of theabove mosaicing techniques are tested by meansofthree-dimensionalrotational images.
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