Dark channel prior image dehazing method based on multiscale fusion
A dark channel prior and multi-scale fusion technology, applied in the field of image processing, can solve the problems of classic methods that have not been completely solved, time complexity, space complexity, and enhancement results lose texture details, etc., to reduce memory usage And time cost, shortening time, suppressing the effect of Halo effect
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[0043] The present invention will be further described in detail below with reference to the drawings and specific embodiments of the specification.
[0044] The present invention is a dark channel priori defogging improvement method based on multi-scale image fusion. The method of the present invention is based on the feature that "the ideal transmittance image should be overall smooth, retain significant edges, and contain no texture details", and use the point-estimated transmittance map based on L 0 The gradient minimization edge-preserving image smoothing algorithm is used for processing; the block estimated transmittance is processed by large-size Gaussian filtering to remove high-frequency false edge information; finally the image fusion is performed to obtain the final transmittance map for defogging enhancement, which suppresses the Halo effect Appears, it can better highlight the texture details of the scene, and at the same time can effectively remove the fog in the sma...
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