Accurate depth estimation for image defogging using Markov random field

Yuan-Kai Wang; Ching-Tang Fan; Chia-Wei Chang

doi:10.1117/12.2010799

20 March 2013 Accurate depth estimation for image defogging using Markov random field

Yuan-Kai Wang, Ching-Tang Fan, Chia-Wei Chang

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87681Q (2013) https://doi.org/10.1117/12.2010799
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

This paper presents an automatic method for the defogging process from a single haze image. To recover a foggy image, an accurate depth map is estimated from a multi-level estimation method, which fuses depth maps with different sizes of patches by dark channel prior. Markov random field (MRF) is applied to label the depth level in adjacent region for the compensation of wrong estimated regions. The accurate estimation of scene depth provides good restoration with respect to visibility and contrast but without oversaturating. The algorithm is verified by a handful of foggy and hazy images. Experimental results demonstrate that the defogging method can recover high-quality images through accurate estimation of depth map.

Citation Download Citation

Yuan-Kai Wang, Ching-Tang Fan, and Chia-Wei Chang "Accurate depth estimation for image defogging using Markov random field", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681Q (20 March 2013); https://doi.org/10.1117/12.2010799

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