Beijing Seetrum Technology Co., Ltd.

Boyu Deng

Yu Wang

Zhou Wang

Zhilei Huang

The present application relates to a spectral restoring method including: receiving and modulating incident light by a filter included in a spectral imaging device; acquiring a light energy response signal matrix output by an image sensor of the spectral imaging device and a standard spectrum; determining a primitive restoring function and a response signal vector of the primitive restoring function based on the light energy response signal matrix, the primitive restoring function restoring a spectral image value of a predetermined channel corresponding thereto using a predetermined pixel value of the photosensitive chip and pixel values in the vicinity thereof; acquiring a restoring tensor, the product of the restoring tensor and the response signal vector being equal to an output of the primitive restoring function based on the response signal vector; and obtaining a restored spectral image based on the product of the restoring tensor and the response signal vector.

Spectral imaging device

The present application relates to a spectral restoring method, including: acquiring a light energy response signal matrix output by a photosensitive chip of a spectral imaging device and a standard spectrum; determining a primitive restoring function and a response signal vector of the primitive restoring function based on the light energy response signal matrix, the primitive restoring function restoring a spectral image value of a predetermined channel corresponding thereto using a predetermined pixel value of the photosensitive chip and pixel values in the vicinity thereof; acquiring a restoring tensor, the product of the restoring tensor and the response signal vector being equal to an output of the primitive restoring function based on the response signal vector; and obtaining a restored spectral image based on the product of the restoring tensor and the response signal vector. In this way, by introducing a standard spectrum and a restoring tensor to restore a spectral image, it is possible to achieve spectral restoring with high speed, easy parallel operation and high restoring accuracy.

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Beijing, China

Boyu Deng