A spatially adaptive retinex variational model for the uneven intensity correction of remote sensing images

In this paper, a spatially adaptive retinex variational model for the uneven intensity correction of remote sensing images is proposed. In the model, the spatial information is used to constrain the TV regularization strength of the reflectance. In the edge pixels, a weak regularization strength is enforced to preserve detail, and in the homogeneous areas, a strong regularization strength is enforced to eliminate the uneven intensity. The relationship and the fidelity term between the illumination and reflectance are also considered. Moreover, the split Bregman optimization algorithm is employed to solve the proposed model. The experimental results with both simulated and real-life data demonstrate that the proposed method is effective, based on both the visual effect and quantitative assessment.