High-resolution infrared imaging system and method based on compressed sensing

Abstract

A high-resolution infrared imaging system and method based on compressed sensing are provided. The system comprises a lens group disposed at the forefront of the system, and a spectral band division module, a compression sampling module, an observation module, a reconstitution module, and an image composition module which successively arranged according to the penetration order of an optical path.The operating waveband of the imaging system is extended to an infrared spectrum of 8-14 [mu]m and a better dispersion aliasing effect is achieved on a spectral image. The method, by dividing the spectrum segments of an infrared spectrum scene image and composing a reconstructed multispectral infrared image, overcomes serious information loss in the prior art during processing an original infrared image in a wide band so as to increase a data size, improve the spectral information utilization in a wide band, retain the energy information of the image, and improve the quality of a reconstruction result.

Description

technical field [0001] The invention belongs to the technical field of infrared image reconstruction, in particular to a high-resolution infrared imaging system and method based on compressed sensing in the technical field of compressed spectral imaging. The invention can be used for the acquisition and reconstruction of infrared spectral images, improves the spatial resolution of images, and reconstructs infrared imaging with high resolution and high sensitivity. Background technique [0002] In the field of image applications, insufficient detail resolution is an important factor that limits the visual effect of images and the performance of target understanding and recognition. In the field of medical imaging such as infrared imaging, image resolution is severely limited by the number and size of pixels in the detector array. The most direct way to improve image resolution is to improve the image sensor manufacturing process, that is, reduce the pixel size from the hardw...

AI Technical Summary

Problems solved by technology

The disadvantage of the CASSI system is that due to the characteristics of the lens group, coding template, and area array detector, the working band is limited to the visible light band, and the resolution of the reconstructed image is not high

The disadvantage of this patented method is that the information loss is serious when processing a wide-spectrum original infrared image, and the noise data greatly interferes with the reconstruction result.

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