Haze Removal for a Single Remote Sensing Image Based on Deformed Haze Imaging Model

The contrast of remote sensing images captured in haze condition is poor, which influences their interpretation. In this letter, a novel dehazing algorithm based on the deformed haze imaging model is proposed. First, the model is deformed by introducing a translation term. Second, the atmospheric li...

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Veröffentlicht in:	IEEE signal processing letters 2015-10, Vol.22 (10), p.1806-1810
Hauptverfasser:	Pan, Xiaoxi, Xie, Fengying, Jiang, Zhiguo, Yin, Jihao
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric modeling Channel estimation Color distortion dark channel prior Deformable models haze removal Image color analysis Imaging Remote sensing Signal processing algorithms
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