Quick reconstruction method of double-camera spectral imaging system based on GPU

Abstract

The invention discloses a quick reconstruction method of a double-camera spectral imaging system based on a GPU, and relates to a method which can quickly acquire a high-resolution hyperspectral image, wherein the method relates to the field of computational photography. The method is applied on a double-camera spectral imaging system based on coded aperture snapshot spectral imaging and a gray-scale camera. A hyperspectral image reconstruction problem is converted to a plurality of sub optimization problems, and furthermore a GPU is utilized for finishing solving of each sub problem. A cuBLAS database and a conjugate gradient reduction method are utilized for updating the hyperspectral image. A soft-threshold function is utilized for updating an auxiliary variable. Iteration is performed for finishing reconstruction of the hyperspectral image. The method of the invention can realize high-quality hyperspectral image reconstruction of the double-camera spectral imaging system and furthermore has advantages of ensuring high spatial resolution and high spectral fidelity of a reconstruction result, greatly improving reconstruction efficiency of the hyperspectral image, and expanding application range of the hyperspectral image. The quick reconstruction method can be used in a plurality of fields of manned space flight, geological exploration, vegetation studying, etc.

Description

technical field [0001] The patent of the present invention relates to a hyperspectral image reconstruction method for dual-camera spectral imaging, especially a method capable of quickly acquiring high-resolution hyperspectral images, which belongs to the field of computational photography. Background technique [0002] Hyperspectral imaging technology combines spatial imaging technology and spectral imaging technology to continuously measure dozens or even hundreds of bands on the spectrum of the target scene. The image obtained by this technology contains two-dimensional spatial information and one-dimensional spectral information of the target scene, which is called a data cube. Compared with traditional color imaging, hyperspectral imaging technology can obtain useful information with richer content and more prominent details. This technology has been used in vegetation research, atmospheric detection, manned spaceflight, medical diagnosis and other fields. [0003] In...

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Problems solved by technology

[0007] Aiming at the problems of long reconstruction time and low image quality existing in existing reconstruction algorithms

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