Method for correcting transverse chromatic aberration of image
A technology of lateral chromatic aberration and image correction, which is applied in the field of image processing, can solve problems such as slow calculation speed, low correction efficiency, and large amount of computation for cubic polynomial correction, and achieve fast correction speed, high correction efficiency, and fast calculation speed.
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Embodiment 1
[0060] Such as figure 2 As shown, Embodiment 1 provides a method for correcting lateral chromatic aberration of an image, the method comprising:
[0061] S101. Acquire a channel image, the channel image is obtained by separating a calibration image, the calibration image is captured by a camera, and the channel image includes an R channel image, a G channel image, and a B channel image;
[0062] S102. Calculate the first center distance of the pixel to be corrected in the G channel image, where the first center distance is the distance from the pixel to be corrected to the central pixel of the G channel;
[0063] S103. Calculate a second center distance of the pixels to be corrected in the R channel image and a third center distance of the pixels to be corrected in the B channel image according to the quadratic equation and the first center distance;
[0064] S104. Obtain the G channel gray value and azimuth angle of the pixel to be corrected in the G channel image, the G ch...
Embodiment 2
[0100] The present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, one of the steps in Embodiment 1 is implemented. Steps in a method of correcting lateral chromatic aberration of an image.
Embodiment 3
[0102] The present application provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of a method for correcting lateral chromatic aberration of an image in Embodiment 1 are realized.
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