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A Spectral Reconstruction Method Based on Raw Response Value of Digital Camera

A digital camera and spectral reconstruction technology, applied in the field of spectral imaging, can solve the problem of low spectral reconstruction accuracy

Active Publication Date: 2021-04-16
WUHAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application solves the problem of low spectral reconstruction accuracy in the prior art by providing a spectral reconstruction method based on the original response value of a digital camera

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  • A Spectral Reconstruction Method Based on Raw Response Value of Digital Camera
  • A Spectral Reconstruction Method Based on Raw Response Value of Digital Camera
  • A Spectral Reconstruction Method Based on Raw Response Value of Digital Camera

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Embodiment Construction

[0070] The technical solution of the present invention provides a spectral reconstruction method based on an ordinary digital camera, which is used for spectral reconstruction based on the original camera response values ​​of the training sample set, verification sample set, and test sample set to be reconstructed obtained by an ordinary commercial digital camera, specifically Include the following steps:

[0071] Step 1, prepare the training sample set, verification sample set and test sample set, measure the actual spectral reflectance of the training sample set and verification sample set, and the CIE XYZ tristimulus value of the training sample set.

[0072] Step 2, use a digital camera (for example, an ordinary digital camera) to shoot three sets of sample sets (ie, training sample set, verification sample set, and test sample set) respectively, obtain the RAW images corresponding to the three sets of sample sets, and extract each pixel The RGB response value of , and per...

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Abstract

The invention belongs to the technical field of spectral imaging, and discloses a spectral reconstruction method based on the original response value of a digital camera, adopts an image file in the RAW format, and performs linearization processing on the extracted original response value of the digital camera, and adopts a device-independent The CIE XYZ color space compares the chromaticity information between samples, increases the verification sample set, and uses it to calculate the optimal parameters of the reconstruction model, taking into account the chromaticity similarity between the training sample and the test sample, and taking into account the spectral similarity between the two , to perform secondary reconstruction, which improves the chromaticity accuracy and spectral accuracy of spectral reconstruction. The invention solves the problem of low spectrum reconstruction precision in the prior art, and can effectively improve the chromaticity precision and spectrum precision of spectrum reconstruction.

Description

technical field [0001] The invention relates to the technical field of spectral imaging, in particular to a spectral reconstruction method based on the original response value of a digital camera. Background technique [0002] Because the reflection spectrum known as the "fingerprint" of an object can accurately express the color of the object and avoid the "metamerism phenomenon", in recent years, it has been widely used in color inkjet printing, color printing and textile printing and dyeing industries. representation and quality control; meanwhile, it is used for material analysis and visualization during art restoration and medical diagnosis. On the other hand, digital camera application technology continues to mature and can be used for color information collection under various environmental conditions. Therefore, the multispectral imaging technology based on ordinary digital cameras has become an important research direction of color science. [0003] Multispectral ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J3/28G01J3/42G06K9/62
CPCG01J3/2823G01J3/42G01J2003/425G06F18/22G06F18/214
Inventor 汪丽霞万晓霞
Owner WUHAN UNIV
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