Fusion of infrared and visible images based on discrete cosine wavelet transform and high pass filter

Author:

Ren ZhigangORCID,Ren Guoquan,Wu Dinghai

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference28 articles.

1. Agostini V, Delsanto S, Knaflitz M, Molinari F (2008) Noise estimation in infrared image sequences: a tool for the quantitative evaluation of the effectiveness of registration algorithms. IEEE Trans Biomed Eng 55(7):1917–1920. https://doi.org/10.1109/TBME.2008.919842

2. Anfu (2013) infrared polarization and light intensity image fusion based on DWT. Appl Optoelectr Technol 28(02):18–22

3. Baohui Z (2013) Infrared and visible image fusion system and application research. Nanjing University of Science and Technology, Nanjing, p 117

4. Guang Y et al (2014) Infrared and visible image fusion based on multi-features. Opt Precis Eng 22(02):489–496

5. Hui X (2009) Research on Infrared and visible image fusion algorithm based on wavelet transform. Changchun University of Technology, Changchun, p 53

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