An edge enhancement algorithm for ultra-wide-angle images
An edge enhancement, ultra-wide-angle technology, applied in the fields of image processing, computer vision and virtual reality, can solve the problem of lower resolution than the central part, etc., to achieve the effect of improved resolution, real-time high-efficiency resolution, and low algorithm complexity
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[0045] In order to facilitate the implementation of the present invention, further description will be given below in conjunction with specific examples.
[0046] Such as figure 1 A kind of edge enhancement algorithm for super wide-angle image shown, comprises the following steps:
[0047] S1. Obtain an ultra-wide-angle image, wherein the effective information of all scenes in the ultra-wide-angle image is concentrated in the same circular area;
[0048] S2. Construct the edge enhancement model of the ultra-wide-angle image: set up a plane coordinate system X-O-Y, the ultra-wide-angle image is located in the XOY plane, and obtain the center coordinate (x) of the ultra-wide-angle image A (x, y) 0 ,y 0 ) and radius r;
[0049] S21. Convert the colored ultra-wide-angle image A(x, y) into a grayscale image G(x, y);
[0050] S22. Binarize the grayscale image G(x, y) to obtain a binarized image GB(x, y);
[0051] S23, obtain the circle center coordinates (x of the ultra-wide-an...
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