Abstract:
This paper introduces a Retinex-based fractional-order variational model for severely low-light images. The proposed method allows greater control over regularization extent than integer-order regularization methods.
To improve estimates, we decompose directly in the image domain and apply fractional-order gradient total variation regularization to both the reflectance and illumination components.
Proposed method benefits: 1) Estimated reflectance maintains small-magnitude details. 2) The estimated reflectance excludes illumination components. 3) Estimated illumination is probably piecewise smooth.
We compare the proposed method to similar Retinex-based methods. The method works in experiments.
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