Share Email Print

Proceedings Paper

Image fusion methods based on compressed sensing: theory and application
Author(s): Hui Deng; Chang-long Wang; Yong-jiang Hu; Yu-hua Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 14 August 2019
PDF: 7 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111790S (14 August 2019); doi: 10.1117/12.2539685
Show Author Affiliations
Hui Deng, Military Engineering Univ. (China)
Chang-long Wang, Military Engineering Univ. (China)
Yong-jiang Hu, Military Engineering Univ. (China)
Yu-hua Zhang, Military Engineering Univ. (China)

Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?