A hyperspectral super-resolution computational imaging system based on compressed sensing

A technology of compressed sensing and computational imaging, applied in the field of spectral imaging, which can solve the problems of low image spatial resolution and high processing pressure, and achieve the effect of reducing hardware requirements, reducing pressure, and reducing volume

Active Publication Date: 2019-03-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] In view of this, the present invention aims at the problems of traditional hyperspectral imaging system data storage, transmission, processing pressure and low spatial resolution of acquired images, and proposes a A hyperspectral su...

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  • A hyperspectral super-resolution computational imaging system based on compressed sensing
  • A hyperspectral super-resolution computational imaging system based on compressed sensing
  • A hyperspectral super-resolution computational imaging system based on compressed sensing

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Embodiment Construction

[0029] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0030] The invention provides a hyperspectral super-resolution computing imaging system based on compressed sensing. The basic idea is to construct an imaging system that does not include a panchromatic observation optical path, and utilize the sparse characteristics (non-local sparse constraints) and structural characteristics of hyperspectral images (non-local self-similarity), to restore the image more accurately.

[0031] figure 1 shows the system composition of the present invention, such as figure 1 As shown, the system includes a hardware module 1 for compressive sensing imaging, and a software module 2 for improving the resolution of hyperspectral images.

[0032] The hardware module 1 for realizing compressed sensing imaging includes: a liquid crystal tunable filter (LCTF, Liquid Crystal Tunable Filter), a spatial encoding module and an area arr...

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Abstract

The invention discloses a hyperspectral super-resolution computational imaging system based on compression sensing, which comprises a liquid crystal adjustable filter, a spatial coding module, an areaarray detector, a compression reconstruction module and a super-resolution module. After the original image passes through the LCD adjustable filter and the spatial coding module, it is detected by the area array detector to obtain the hyperspectral data which is compressed in space and spectral dimension. The compression reconstruction module is configured to reconstruct the hyperspectral data by using a compression sensing reconstruction algorithm to obtain a restored low-resolution hyperspectral image. A super-resolution module is configured to recover a high-resolution hyperspectral imagefrom only the low-resolution hyperspectral image without supplementing the high-resolution RGB image by utilizing the non-local self-similarity of the hyperspectral image. The super-resolution moduleis configured to recover a high-resolution hyperspectral image from the low-resolution hyperspectral image without supplementing the high-resolution RGB image. At that same time, the system does notneed to add additional optical path to realize the super-resolution reconstruction of the hyperspectral image.

Description

technical field [0001] The invention belongs to the technical field of spectral imaging, in particular to a hyperspectral super-resolution computing imaging system based on compressed sensing. Background technique [0002] The hyperspectral imaging system can provide tens to hundreds of continuous narrow-band information for each pixel of surface objects, and its spectral resolution reaches the order of nanometers, which contains a wealth of surface object type information. The emergence and development of hyperspectral imaging system has greatly improved people's ability to observe and understand things through remote sensing technology, and has attracted widespread attention from all over the world. It plays an important role in geological survey, vegetation research, atmospheric observation, agricultural production, national defense and military affairs, etc. effect. [0003] Hyperspectral images are composed of three-dimensional image data of different spectral segments...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06T9/00G06K9/62
CPCG06T3/4076G06T5/002G06T5/003G06T9/00G06T2207/10036G06F18/23213G06F18/2136G06F18/2135
Inventor 许廷发徐畅张宇寒王茜余越樊阿馨
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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