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Method utilizing single exposure shooting to acquire multispectral images

A multi-spectral image and sub-exposure technology, applied in the field of optical engineering, can solve the problem of relying on complex imaging systems for obtaining multi-spectral images, and achieve low-cost effects

Active Publication Date: 2017-06-27
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the inconvenience caused by relying on complex imaging systems or multiple exposures in obtaining multispectral images in the prior art, and to provide a method for obtaining multispectral images by single exposure shooting

Method used

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  • Method utilizing single exposure shooting to acquire multispectral images

Examples

Experimental program
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Embodiment 1

[0028] In this embodiment, a conventional method is adopted, neither polynomial expansion nor weight optimization is performed, and a multispectral image is acquired through single-exposure shooting. Specific steps are as follows:

[0029] S1: The test samples and training samples used are all from Digital SG ColorChecker, and there are 96 color samples in total. In the experiment, it is divided into two parts, 48 ​​test samples and 48 training samples. Starting from 400nm within the wavelength range of 400-700nm, set a sampling point every 10nm, a total of 31. Measure the spectral reflectance of 48 training samples at 31 sampling points by a spectrophotometer, and use it as a matrix row element to construct a 31×48 matrix R trn , where each column represents 31 spectral reflectance values ​​of a training sample;

[0030] S2: The spectral composition of the lighting source is as follows figure 2 As shown, under this light source, use the spectral sensitivity function of t...

Embodiment 2

[0037] In this embodiment, only polynomial expansion is used, and a multispectral image is acquired through single-exposure shooting. Specific steps are as follows:

[0038] S1: This step is the same as in Example 1.

[0039] S2: The spectral composition of the lighting source is as follows figure 2 As shown, under this light source, use the spectral sensitivity function of the camera to obtain the RGB values ​​of 48 training samples, and construct a 3×48 training sample matrix C trn , where each column represents the R, G, and B values ​​of a training sample;

[0040] S3: Under the same lighting source as S2, image in a digital camera through the same RGB camera as S2, obtain the RGB values ​​of the test sample, and construct a 3×48 matrix C tst , where each column represents the R, G, and B values ​​of a target to be tested;

[0041] S4: respectively for the matrix C trn and C tst The R, G, B components in the same polynomial expansion, where P = 11, R, G, B component...

Embodiment 3

[0047] In this embodiment, the method of performing polynomial expansion first and then performing weight optimization is adopted. Specific steps are as follows:

[0048] S1: This step is the same as in Example 1.

[0049] S2: The spectral composition of the lighting source is as follows figure 2As shown, under this light source, use the spectral sensitivity function of the camera to obtain the RGB values ​​of 48 training samples, and construct a 3×48 training sample matrix C trn , where each column represents the R, G, and B values ​​of a training sample;

[0050] S3: Under the same lighting source as S2, image in a digital camera through the same RGB camera as S2, obtain the RGB values ​​of the test sample, and construct a 3×48 matrix C tst , where each column represents the R, G, and B values ​​of a target to be tested;

[0051] S4: respectively for the matrix C trn and C tst The R, G, B components in the same polynomial expansion, the number of components after expa...

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Abstract

The invention discloses a method utilizing single exposure shooting to acquire multispectral images and belongs to the optical engineering field. According to the method, a polynomial model can be utilized, training samples are adaptively selected, different weights can be given to different training samples automatically, spectrum of an illumination light source can be optimized to acquire the optimal reflectivity reconstruction effect, single exposure shooting of a light source is realized through a common RGB camera, and the multispectral images can be acquired. The method is advantaged in that properties of more rapidness, no filtering device, reduced mechanical motion and similar precision are realized, image spectrum and dynamic object spectrum can be captured, the method can be applied to multiple applications, including but not limited to computer graphics or medical imaging, printing industry, cultural relic reproduction, bioimaging, beauty industry and material screening fields and color copy and other spectrum reproduction fields.

Description

technical field [0001] The invention belongs to the field of optical engineering, and in particular relates to a method for acquiring multispectral images by single-exposure shooting. Background technique [0002] Spectral reflectance reconstruction is an important field in optical research. Its purpose is to reconstruct the inherent spectral reflectance of the object itself, which is independent of equipment and illumination, from the device-related RGB tristimulus values ​​obtained by various imaging devices. for accurately predicting the color of objects under different lighting conditions. The spectral reflectance of an object is the ratio of the luminous flux reflected by the object to the incident luminous flux of light of different wavelengths. A multispectral image refers to a picture in which each pixel is composed of spectral reflectance. There are two ways to acquire multispectral images at this stage: 1. The traditional method of acquiring the spectral reflecta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/28
CPCG01J3/2823G01J2003/2826G01J2003/283
Inventor 罗明穆罕穆德.萨夫达尔徐力豪
Owner ZHEJIANG UNIV
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