Image processing method and device, and terminal device
An image processing device and image processing technology, applied in the field of image processing, can solve problems such as moiré on the high-frequency edge of an image, and achieve the effect of solving moiré and improving image quality
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Embodiment 1
[0074] refer to figure 1 , propose the image processing method of the first embodiment of the present invention, described method comprises the following steps:
[0075] S11. Convert the image from RGB space to YCbCr space to obtain a first processed image.
[0076] Specifically, the terminal device reads the image, and converts the image from RGB (red, green, blue) space to YCbCr space according to the conversion formula to obtain the first processed image. The image may be a captured image, may also be a locally stored image, may also be an image transmitted by an external device, and may also be an image loaded from a network.
[0077] Optionally, the following conversion formula can be used for spatial conversion:
[0078] Y=0.299*R+0.587*G+0.114*B
[0079] Cb=-0.169*R-0.331*G+0.500*B
[0080] Cr=0.500*R-0.419*G-0.081*B;
[0081] Among them, R represents the red channel component, G represents the green channel component, B represents the blue channel component, Y rep...
Embodiment 2
[0104] refer to Figure 7 , the image processing device of the second embodiment of the present invention is proposed, the device includes a first conversion module 100, a filter processing module 200 and a second conversion module 300, wherein:
[0105] The first conversion module 100: for converting the image from the RGB space to the YCbCr space to obtain the first processed image.
[0106] Specifically, the first conversion module 100 reads the image, and converts the image from the RGB space to the YCbCr space according to the conversion formula to obtain the first processed image. The image may be a captured image, may also be a locally stored image, may also be an image transmitted by an external device, and may also be an image loaded from a network.
[0107] Optionally, the first conversion module 100 may use the following conversion formula to perform space conversion:
[0108] Y=0.299*R+0.587*G+0.114*B
[0109] Cb=-0.169*R-0.331*G+0.500*B
[0110] Cr=0.500*R-0.4...
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