Adaptive processing method for smog sky and white area in aerial images of unmanned aerial vehicles
A white area and processing method technology, which is applied in the field of adaptive processing of haze sky and white area in UAV aerial images, can solve the problems of missed detection of sky parts, not satisfying the prior law of dark primary colors, and color distortion in dehazing. Achieve the effect of solving color distortion, improving atmospheric dissipation function, contrast and color saturation enhancement
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[0045] Below in conjunction with accompanying drawing, the present invention is described in further detail:
[0046] see figure 1 and figure 2 , The present invention provides an adaptive processing method for foggy sky and white areas of aerial images taken by drones.
[0047] Step 1. Acquire the aerial image of the UAV: use the image acquisition device of the UAV to obtain the aerial image I(x) to be dehazed.
[0048] Step 2, the UAV aerial image obtained in step 1 is obtained based on the dark channel prior theory to obtain the dark channel image I dark (x) and grayscale image I gray (x);
[0049] The acquired dark channel image is based on the dark channel prior theory proposed by He Yuming. In most non-sky areas, some pixels always have at least one color channel with a very low value, which tends to almost zero. In other words, the minimum value of the light intensity in this area is a small number close to zero. Taking an RGB image as an example, for any input...
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