Image defogging system based on deep learning and an a priori constraint
A deep learning and image technology, applied in the field of image processing, can solve problems such as image defogging system errors, and achieve the effect of easy implementation, simple implementation, and remarkable defogging effect
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[0057] The present invention will be further described below in conjunction with the accompanying drawings of the specification.
[0058] Such as figure 1 As shown, an image defogging system based on deep learning and prior constraints of the present invention includes the following steps:
[0059] 1) Through observation and comparison and mean square error statistics of the image samples composed of the fog-free image and the synthesized fog image, a new prior constraint for image defogging is proposed;
[0060] 2) Using the atmospheric scattering model to synthesize the image sample set in HDF5 data format required by the training model;
[0061] 3) Aiming at image defogging, guided by prior constraints, design an end-to-end multi-scale deep convolutional network, and use image sample sets combined with multi-scale distance loss functions to optimize the training process of the model;
[0062] 4) Using the deep convolutional network model obtained by the above training to realize the ...
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