Paper
15 September 2021 Fusion method of multispectral and panchromatic images based on NSST and improved PCNN
Chong Song, Litang Zeng, Kai Jiang, Zhaohui Liu, Liang Zhou
Author Affiliations +
Proceedings Volume 11915, International Conference on Optics and Image Processing (ICOIP 2021); 119150E (2021) https://doi.org/10.1117/12.2605896
Event: International Conference on Optics and Image Processing (ICOIP 2021), 2021, Guilin, China
Abstract
The dual-camera coded aperture snapshot spectral imager(DC-CASSI) includes the coded aperture snapshot spectral imager(CASSI) and panchromatic imager. CASSI can obtain the three-dimensional spectral image information of the target in a single coding within a single integral time, but it is difficult to achieve high-quality reconstruction of spectral image in a single coding. Therefore, the panchromatic image acquired by the panchromatic imager should be fused with it to obtain high-quality multispectral reconstruction images. Based on the imaging characteristics of DC-CASSI, a multispectral and panchromatic image fusion algorithm based on Non-subsampled Shearlets Transform (NSST) and improved Pulse Coupled Neural Network(PCNN) is proposed. The fusion experimental results show that compared with other traditional fusion algorithms, the proposed fusion algorithm can be well applied to DC-CASSI and maximum improving the spatial resolution of multispectral coded image while preserving spectral characteristics of the multispectral coded image.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chong Song, Litang Zeng, Kai Jiang, Zhaohui Liu, and Liang Zhou "Fusion method of multispectral and panchromatic images based on NSST and improved PCNN", Proc. SPIE 11915, International Conference on Optics and Image Processing (ICOIP 2021), 119150E (15 September 2021); https://doi.org/10.1117/12.2605896
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KEYWORDS
Image fusion

Multispectral imaging

Reconstruction algorithms

Neurons

Distortion

Image processing

Discrete wavelet transforms

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