利用分割中值滤波和透射率补偿的图像去雾

doi:10.3969/j.issn.1001-2400.2018.04.018

Abstract

Abstract:

To enhance the quality of haze-degraded images, a single image dehazing approach based on the segmenting median filter and adaptive transmission compensation is proposed. First, a segmenting median filter is presented to smooth the transmission map estimated by the ‘dark channel prior + guided filter’ dehazing method, which aims to reduce the unnecessary edges or the texture of the transmission map but preserve the edges where the depth changes abruptly. Then, an adaptive compensation scheme is introduced to correct the transmission of bright areas by constructing a compensation function to avoid segmenting sky areas. Besides, we use a simple and effective way to determine parameters automatically, which improves the adaptability of our method. Experimental results show that our method enhances the image contrast and reduces the color distortion of sky areas by exploiting a more accurate estimation on the transmission map. In addition, our method has a better adaptability which can obtain sharper dehazed results both for the images with the sky and for those without the sky.

Key words: image processing, image dehazing, dark channel prior, transmission compensation, segmenting median filter

HU Yan;WANG Keyan;XU Ning;LI Yunsong;ZHANG Shanshan. Image dehazing by the segmenting median filter and transmission compensation[J].Journal of Xidian University, 2018, 45(4): 99-105.

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Image dehazing by the segmenting median filter and transmission compensation

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