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25 March 2008 Optimization and application of Retinex algorithm in aerial image processing
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In this paper, we provide a segmentation based Retinex for improving the visual quality of aerial images obtained under complex weather conditions. With the method, an aerial image will be segmented into different regions, and then an adaptive Gaussian based on the segmentations will be used to process it. The method addresses the problems existing in previously developed Retinex algorithms, such as halo artifacts and graying-out artifacts. The experimental result also shows evidence of its better effect.
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Bo Sun, Jun He, and Hongyu Li "Optimization and application of Retinex algorithm in aerial image processing", Proc. SPIE 6978, Visual Information Processing XVII, 69780Y (25 March 2008);

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