Method and device for correcting rgb-ir images

Abstract

The present application discloses a method for correcting RGB-IR images, which includes the following steps. Step S10: Input RGB-IR image. Step S20: Perform dark level correction on the input RGB-IR image. Step S30: performing gain compensation on the IR component according to each color channel. Step S40: Calculate the residual after subtracting the gain-compensated IR component from the RGB components of each color channel, and obtain the minimum residual, and then calculate the correction coefficient of the IR component according to the minimum residual. Step S50: Correct and output the RGB components according to the correction coefficient of the IR component and the IR component after gain compensation. This application realizes the correction of RGB-IR images through image processing, and adaptively removes or retains part or all of the infrared components in the bright and dark areas of the image, so that the two indicators of image brightness and image non-color cast strike a balance.

Description

technical field [0001] The present application relates to the field of image processing, and in particular, to a method and apparatus for processing image data. Background technique [0002] With the development of multimedia technology, the camera function of devices such as video surveillance and mobile phones has been paid more and more attention by users. The photographing functions of the above-mentioned devices are all realized based on the image sensor. When the user takes a photograph during the day when the light is sufficient, the image sensor can receive enough light, and then the image can be clearly imaged. However, when the light is insufficient at night, the image sensor cannot take pictures properly, and the range of use of these devices will be limited. [0003] In order to solve the problem of taking pictures in low-light scenes, the image sensor will receive some near-infrared (NIR, Near-infrared) as a supplement to visible light. But if figure 1 As sho...

AI Technical Summary

Problems solved by technology

[0005] However, the infrared filter device based on the mechanical structure is large in size, which will cause the focal length to change and affect the clarity of the image; and it is expensive; when assembled in mobile devices such as mobile phones, daily collisions will easily cause displacement and affect the use effect

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