@inproceedings{e5815b1c07e54a5c8efc4b4b23ded59d,
title = "Modified OMP based sparse representation for multi-sensor images fusion",
abstract = "In this paper, a novel fusion method is proposed combining the sparse representation and nonsubsampled contourlet transform (NSCT). The fusion framework consists of two parts: low-frequency components fusion and high-frequency sub-bands fusion. Firstly, the original images are divided into low-frequency component and high-frequency components using the NSCT transformation. Secondly, a modified OMP is proposed for the sparse representation of low-frequency images and the weight fusion rule is designed for sparse coefficients fusion. Then, the high-frequency sub-bands images are fused using the Max-L1 way. Finally, the fusion image can be obtained by inverse NSCT transformation of two images from different fusion parts.",
keywords = "Image fusion, Modified OMP, Multi-sensor image, Nonsubsampled contourlet transform, Sparse representation",
author = "Fuyu Huang and Changfan Zou and Gang Li and Yuanbo Wang and Shuai Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; 6th Symposium on Novel Optoelectronic Detection Technology and Applications ; Conference date: 03-12-2019 Through 05-12-2019",
year = "2020",
doi = "10.1117/12.2565338",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Junhao Chu and Huilin Jiang",
booktitle = "Sixth Symposium on Novel Optoelectronic Detection Technology and Applications",
address = "United States",
}