Colored night vision imaging device and method based on EMCCD and single-color CCD

Abstract

The invention discloses a colored night vision imaging device and method based on an EMCCD and a single-color CCD. The colored night vision imaging device is composed of the EMCCD, the single-color CCD, a focusing lens, a movement control platform, an electric light filter runner, a PC and a target image. The method includes: taking a standard color card as the target image; restoring an RGB-format image acquired by YUV conversion to be an image high in color fidelity through white balance, chroma control and color calibration to acquire a mapping color correction matrix; photographing a real object, and restoring a colored image under low illuminance according to the mapping color correction matrix. By the colored night vision imaging device and method, color information can be restored under low-illuminance environment without sacrificing reconstructed image resolution; photons of a near infrared wave band and a visible light wave band are utilized, so that the problem of high noise of the EMCCD under low illuminance is avoided as much as possible.

Description

technical field [0001] The invention belongs to color night vision imaging technology, in particular to a color night vision imaging device and method based on EMCCD and monochrome CCD. Background technique [0002] According to Yang-Helmholtz's theory of three primary colors, the perception of color is the result of the combination of light stimuli of the three primary colors. The basic colors that cannot be decomposed are called primary colors. Primary colors can be synthesized into other colors, but other colors cannot restore the original colors. The three primary colors are commonly referred to as red, green, and blue. [0003] In the red, green, and blue primary color system, the stimuli of red, green, and blue are represented by R, G, and B, respectively. Since the red, green, and blue primary colors selected from the actual spectrum cannot be used to mix all the colors that exist in nature, CIE theoretically assumed in 1931 that there are three primary colors that ...

AI Technical Summary

Problems solved by technology

3CCD can use three ICCDs or EMCCDs to obtain corresponding grayscale images through red, green and blue filters, and then fuse them to obtain color images, but the cost is relatively high and it is not portable enough

If you want to use the two together, you must ensure the same field of view. The current optical path system cannot make the two images merge.

In addition, to achieve color imaging, it is not enough to fuse images under different spectra

Current technology cannot calibrate color for accurate color reproduction

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