Method and device for image false color suppression

Abstract

The invention discloses a method and an apparatus for suppressing color artifact of an image. The method comprises following steps of: inputting an RGB image of an RGB color space; transforming the RGB image from the RGB color space to a transformation domain color space in order to obtain a brightness component and a chrominance component; performing weighted filtering processing on the chrominance component in order to obtain a chrominance suppression output value having been subjected to the weighted filtering; transforming the chrominance suppression output value and the brightness component from the transformation domain color space to the RGB color space in order to obtain and output an RGB image with suppressed color artifact. The RGB image having been subjected to the mosaic processing is transformed from the RGB color space to a transformation domain LC1C2 color space to obtain the brightness component and the chrominance component of the RGB image. The chrominance component is subjected to the weighted filtering processing in order to obtain a filtered chrominance component. And then the filtered chrominance component and the original brightness component are transformed from the transformation domain LC1C2 color space to the RGB color space so as to obtain the RGB image with suppressed color artifact. Therefore, an effect of suppressing color artifact of an image is achieved easily and effectively.

Description

Technical field [0001] The present invention relates to the field of video image processing, in particular to a simple and efficient method and device for suppressing false color of images. Background technique [0002] In the camera system, except for a few dedicated digital cameras that will use full-color filter sensors, most CCD or CMOS image sensors, in order to simplify the process and reduce costs, all use color filter arrays (ColorFilterArray, referred to as CFA), according to the pixel space The three primary colors of R, G, and B are recorded alternately, that is, the light intensity of only one of the three primary colors of R, G, and B can be recorded at each pixel position. The image recorded in this way is a mosaic image called Bayer image format, such as figure 1 As shown, there are four commonly used Bayer formats. To obtain a full-color image, it is necessary to recover the missing color components from the Bayer format image. This technique of recovering full-...

AI Technical Summary

Problems solved by technology

Generally, false color suppression usually needs to convert the RGB color space to the HSV or YUV domain for processing. However, this process is time-consuming, and it also requires a large resource consumption and requires a large color space conversion calculation.

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