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True color high definition night vision imaging method

A night vision imaging, high-definition technology, applied in color TV, color TV parts, TV, etc., can solve the problem that it is difficult to obtain true-color high-definition night vision images

Inactive Publication Date: 2018-01-09
四川精视科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problem that the existing night vision imaging method is difficult to obtain true-color high-definition night vision images, the present invention discloses a true-color high-definition night vision imaging method, which is characterized in that: obtaining a high-resolution grayscale image A of the same scene, low-resolution Color image B with high signal-to-noise ratio, use low-resolution high-signal-to-noise ratio color image B to color high-resolution grayscale image A to obtain true-color high-definition night vision image C

Method used

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  • True color high definition night vision imaging method

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Embodiment 1

[0235] The grayscale image A is acquired by method a1, the monochrome image sensor is EMCCD with an imaging resolution of 2 million pixels, the color image B is acquired by method b1, and the imaging resolution of the Bayer image sensor is 2 million pixels. In the method b1, the KSVD image denoising algorithm is used to denoise the grayscale image A, and the b1-a method is used to denoise the three channel images of the color image D with the grayscale image as the guide image, and the high Signal-to-noise ratio color image B, the resolution of color image B is 500,000 pixels. In method b1-a, s1=5, a=2, ε=3. Using method c1, the color information of the color image B is colored to the denoised grayscale image A to obtain a high-resolution color night vision image C, and the resolution of image C is 2 million pixels. In method c1, color and brightness component color space λ selects YUV color space, using method d1 for color image B λ The color component {B λ2 ,B λ3} for up...

Embodiment 2

[0237] The difference from Embodiment 1 is that in the method b1, the b1-b method is used to denoise the three channel images of the color image D with the denoised grayscale image as the guide image. In method b1-b, s3=5, τ r =0.01,τ g =0.01,τ b = 0.01.

Embodiment 3

[0239] The difference from Example 1 is that the grayscale image A is acquired by a SCMOS monochrome image sensor, and the imaging resolution is 2 million pixels; the color image B is acquired by method b2, and the chip area of ​​the Bayer image sensor is the same as the chip area of ​​the SCMOS monochrome image sensor. Same, image resolution is 125,000 pixels.

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Abstract

An existing night vision imaging method is hard to obtain a true color high definition night vision image; the true color high definition night vision imaging method can solve said problems, and is featured by comprising the following steps: obtaining a high resolution gray scale image and a low resolution high signal to noise ratio color image of the same scene; using the low resolution high signal to noise ratio color image to colorize the high resolution gray scale image so as to obtain a true color high definition night vision image. Compared with the prior arts, the method can greatly reduce the imaging system cost, and can improve the color night vision imaging quality.

Description

technical field [0001] The invention belongs to the technical field of night vision imaging, in particular to a true-color high-definition night vision imaging method. Background technique [0002] Night vision imaging technology plays an important role in military, police, civilian and many other fields. At present, the methods of realizing night vision imaging include: infrared thermal imaging night vision, low-light photoelectric multiplication night vision, laser supplementary light night vision, etc. [0003] Infrared thermal imaging night vision technology realizes imaging by sensing the thermal radiation of the scene. The advantages are: it can be applied to extremely low illumination levels, even imaging in complete darkness. The disadvantages are high device cost, low resolution, and the inability to obtain object surface textures information. The low-light photoelectric multiplication night vision imaging technology uses a photomultiplier tube to amplify tens of ...

Claims

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Application Information

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IPC IPC(8): G06T5/00H04N5/217H04N5/357
Inventor 不公告发明人
Owner 四川精视科技有限公司
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