Modified OMP based sparse representation for multi-sensor images fusion

Fuyu Huang Sr.; Changfan Zou; Gang Li; Yuanbo Wang; Shuai Zhang

doi:10.1117/12.2565338

17 April 2020 Modified OMP based sparse representation for multi-sensor images fusion

Fuyu Huang Sr., Changfan Zou, Gang Li, Yuanbo Wang, Shuai Zhang

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145575 (2020) https://doi.org/10.1117/12.2565338
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

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.

Citation Download Citation

Fuyu Huang Sr., Changfan Zou, Gang Li, Yuanbo Wang, and Shuai Zhang "Modified OMP based sparse representation for multi-sensor images fusion", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145575 (17 April 2020); https://doi.org/10.1117/12.2565338

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KEYWORDS

Image fusion

Associative arrays

Chemical species

Medical imaging

Quantum wells

Tolerancing

Image processing

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