Fast Hyperspectral Cube Reconstruction for a Double Disperser Imager. Ardi, I., Carfantan, H., Lacroix, S., & Monmayrant, A. In *2018 26th European Signal Processing Conference (EUSIPCO)*, pages 2225-2229, Sep., 2018.

Paper doi abstract bibtex

Paper doi abstract bibtex

We consider the problem of hyperspectral cube reconstruction with a new controllable imaging system. The reconstruction with a small number of images acquired with different configurations of the imager avoids a complete scanning of the hyperspectral cube. We focus here on a quadratic penalty reconstruction approach, which provides a fast resolution thanks to the high sparsity of the involved matrices. While such a regularization is known to smooth the restored images, we propose to exploit the system capability to acquire the panchromatic image of the scene, to introduce prior information on the sharp edges of the image, leading to a fast and edge-preserved reconstruction of the image.

@InProceedings{8553615, author = {I. Ardi and H. Carfantan and S. Lacroix and A. Monmayrant}, booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)}, title = {Fast Hyperspectral Cube Reconstruction for a Double Disperser Imager}, year = {2018}, pages = {2225-2229}, abstract = {We consider the problem of hyperspectral cube reconstruction with a new controllable imaging system. The reconstruction with a small number of images acquired with different configurations of the imager avoids a complete scanning of the hyperspectral cube. We focus here on a quadratic penalty reconstruction approach, which provides a fast resolution thanks to the high sparsity of the involved matrices. While such a regularization is known to smooth the restored images, we propose to exploit the system capability to acquire the panchromatic image of the scene, to introduce prior information on the sharp edges of the image, leading to a fast and edge-preserved reconstruction of the image.}, keywords = {hyperspectral imaging;image reconstruction;image resolution;image restoration;image scanners;matrix algebra;image scanning;image restoration;image resolution;matrix algebra;panchromatic image acquisition;edge-preserved image reconstruction;quadratic penalty reconstruction approach;controllable imaging system;double disperser imager;fast hyperspectral cube reconstruction;Image reconstruction;Charge coupled devices;Image edge detection;Hyperspectral imaging;Optical imaging;Mathematical model}, doi = {10.23919/EUSIPCO.2018.8553615}, issn = {2076-1465}, month = {Sep.}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570436359.pdf}, }

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