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http://dx.doi.org/10.5573/ieie.2014.51.3.119

Novel Defog Algorithm via Evaluation of Local Color Saturation  

Park, Hyungjo (School of Electrical Engineering, Korea Univ.)
Park, Dubok (Dept. of Visual Information Processing, Korea Univ.)
Ko, Hanseok (School of Electrical Engineering, Korea Univ.)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.3, 2014 , pp. 119-128 More about this Journal
Abstract
This paper presents a new method for improving the quality of images corrupted by an external source that generates an attenuation and scattering of light like dust, water droplets and fog. Conventional defog methods typically encounter a distortion such that the restored image has low contrast and oversaturation of color in some regions because of the mis-estimated airlight and wrong media transmission. Therefore, in order to mitigate these problems, we propose a robust airlight selection method and local saturation evaluation method for estimating media transmission. The proposed method addresses the wrong media transmission and over-saturation problems caused by the mis-estimated airlight and thereby improves the restored image quality. The results of relevant experiments of the proposed method against conventional ones confirm the improved accuracy of atmospheric light estimation and the quality of restored images with regard to objective and subjective performance measures.
Keywords
Saturation; Defog; Image enhancement; Haze removal; Atmospheric light;
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