10 April 2018 Image fusion based on Bandelet and sparse representation
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061534 (2018) https://doi.org/10.1117/12.2302787
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Bandelet transform could acquire geometric regular direction and geometric flow, sparse representation could represent signals with as little as possible atoms on over-complete dictionary, both of which could be used to image fusion. Therefore, a new fusion method is proposed based on Bandelet and Sparse Representation, to fuse Bandelet coefficients of multi-source images and obtain high quality fusion effects. The test are performed on remote sensing images and simulated multi-focus images, experimental results show that the performance of new method is better than tested methods according to objective evaluation indexes and subjective visual effects.
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Jiuxing Zhang, Jiuxing Zhang, Wei Zhang, Wei Zhang, Xuzhi Li, Xuzhi Li, "Image fusion based on Bandelet and sparse representation", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061534 (10 April 2018); doi: 10.1117/12.2302787; https://doi.org/10.1117/12.2302787
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