Image fusion methods based on compressed sensing: theory and application

Hui Deng; Chang-long Wang; Yong-jiang Hu; Yu-hua Zhang

doi:10.1117/12.2539685

14 August 2019 Image fusion methods based on compressed sensing: theory and application

Hui Deng, Chang-long Wang, Yong-jiang Hu, Yu-hua Zhang

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111790S (2019) https://doi.org/10.1117/12.2539685
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

Image fusion can provide a more comprehensive scene description. Applying the technology of compressed sensing to image fusion can reduce the amount of data and accelerate the algorithm processing, while sprase representation,compression sampling and signal reconstruction are the key to the application of compressed sensing in image fusion. Researching on the above problems will be benificial to reduce the time-consuming of fusion process. both theory and application are analyzied and summarized for make compressed sensing better applied to image fusion, thus providing valuable guidance for better solution to be proposed.

Citation Download Citation

Hui Deng, Chang-long Wang, Yong-jiang Hu, and Yu-hua Zhang "Image fusion methods based on compressed sensing: theory and application", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111790S (14 August 2019); https://doi.org/10.1117/12.2539685

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