Image processing method
An image processing and image technology, applied in the field of image processing, can solve the problems of insufficient image color saturation, color gamut reduction, etc., and achieve the effect of improving the display effect and improving the vividness of the image color
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no. 1 example
[0025] The following will combine image 3 and Figure 4 The image processing method of the first embodiment of the present invention will be described. Specifically, the image processing method of this embodiment can be implemented using the following technical solutions:
[0026] Firstly, the acquired original image is converted from RGB color space to LCH color space. Specifically, the original image may be converted from the RGB color space to the Lab color space, and then from the Lab color space to the LCH color space; since the RGB color space, the Lab color space and the LCH color space are all known color spaces, their mutual The conversion formula of is a well-known technology, so it will not be repeated here.
[0027] Next, the brightness information of each pixel of the original image in the LCH color space can be extracted, and the brightness information can be mapped to improve the overall contrast of the image; the specific mapping processing method can be: a...
no. 2 example
[0040] The following will combine Figure 5 The image processing method of the second embodiment of the present invention will be described. Specifically, the image processing method of this embodiment can be implemented using the following technical solutions:
[0041] Firstly, the acquired original image is converted from RGB color space to Lxy color space. Specifically, the original image may be converted from the RGB color space to the XYZ color space, and then converted from the XYZ color space to the Lxy color space; since the RGB color space, the XYZ color space and the Lxy color space are all known color spaces, their mutual The conversion formula of is a well-known technology, so it will not be repeated here.
[0042] Next, the brightness information of each pixel of the original image in the LCH color space can be extracted, and the brightness information can be mapped to improve the overall contrast of the image; the specific mapping processing method can be: a) g...
no. 3 example
[0051] The main difference between the third embodiment of the present invention and the aforementioned first embodiment and the second embodiment is that the third embodiment does not calculate the degraded image based on the measurement of ambient light intensity, but uses direct measurement. details as follows:
[0052] First obtain the chromaticity measurement value obtained by directly measuring the chromaticity value of the screen image (that is, the degraded image under the influence of ambient light) when the display device displays the original image under ambient light by using equipment such as a light probe and a chromaticity sensor;
[0053] Next, get the difference between the chromaticity value of the original image and the chromaticity measurement of the screen image
[0054] Afterwards, the color saturation compensation method of the first embodiment or the color gamut expansion method of the second embodiment can be used to perform chromaticity compensation o...
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