Image processing method and device, electronic equipment and storage medium
An image processing and sample image technology, applied in the field of image processing, can solve the problems of low accuracy of white balance adjustment and the limitation of application scenarios of white balance adjustment methods, and achieve the effects of avoiding artificial feature design, expanding data scale, and accurate output results
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Embodiment approach 1
[0072] The first logarithmic domain image li'=(log2(Gi / Ri+eps), log2(Bi / Ri+eps));
[0073] The second logarithmic domain image lj'=(log2(Gj / Rj+eps), log2(Bj / Rj+eps)); where, eps=le-7.
Embodiment approach 2
[0075] The first logarithmic domain image li'=(log(Gi / Ri+eps), log(Bi / Ri+eps));
[0076] The second logarithmic domain image lj'=(log(Gj / Rj+eps), log(Bj / Rj+eps)); where, eps=le-7.
Embodiment approach 3
[0078] The first logarithmic domain image li'=(log2(Ri / Gi+eps), log2(Ri / Bi+eps));
[0079] The second logarithmic domain image lj'=(log2(Rj / Gj+eps), log2(Rj / Bj+eps)); where, eps=le-7.
[0080] 3220. Using the white balance adjustment model to be trained, respectively extract the first sample image features of the first logarithmic domain image and the second sample image features of the second logarithmic domain image.
[0081] Wherein, the image features of the logarithmic domain image extracted by the white balance adjustment model to be trained include but not limited to histogram features and gray edge features. Exemplarily, the histogram feature can be extracted, the size of the histogram is 64*64, the histogram calculation is [-8.0, 8.0], and the step size is 16 / 64. Extract the histogram feature of the first logarithmic domain image li' to obtain the first histogram feature xi; extract the histogram feature of the second logarithmic domain image lj' to obtain the second...
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