Low-illumination image enhancement method based on Retinex model adaptive structure
A model adaptive and image enhancement technology, applied in the field of image processing, can solve problems such as low brightness and low overall image brightness
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[0032] This method first proposes a Retinex enhancement algorithm for adaptive weighting matrices for low-light images, which introduces new exponential local derivatives to better exploit the global nature of the derivatives and generalizes the related derivatives to structure and texture maps Middle; the algorithm extracts illumination and reflection information from the input image, and at the same time performs L0 sparse representation on the reflection image; the algorithm uses alternating direction least squares method to solve ill-posed problems in a better way. The improvement plan is as follows:
[0033] First of all, the new objective function will be applied to the smooth solution of L0, so the method of solving L0 will be described in detail here.
[0034] On the input image, R is used as the input image, and W is used as the output result. gradient Computes the color difference between each pixel p's neighbors along the x and y directions. The gradient measure...
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