【摘要】：針對霧、霾等強(qiáng)散射環(huán)境下相機(jī)拍攝圖像嚴(yán)重退化的問題,提出了一種降低霧霾環(huán)境對圖像質(zhì)量影響的圖像去霧重構(gòu)方法。基于霧天偏振成像模型,分別估計(jì)圖像每個(gè)區(qū)域的重構(gòu)參數(shù),獲取全局最優(yōu)的重構(gòu)參數(shù)。利用偏振濾波的方法估計(jì)霧天大氣散射光的偏振度分布,利用自適應(yīng)亮通道方法計(jì)算無窮遠(yuǎn)處大氣散射光的強(qiáng)度分布,從而重構(gòu)出去霧圖像。最后,利用偏振度的紋理信息對重構(gòu)圖像進(jìn)行增強(qiáng)。該方法考慮了圖像中不同位置大氣雜散光參數(shù)的不一致性,對圖像每一區(qū)域的重構(gòu)參數(shù)分別運(yùn)算,從而獲得全局最優(yōu)的重構(gòu)參數(shù)圖像。該方法還不要求圖像必須包含天空區(qū)域,并且具有對灰度圖像的處理效果較好的優(yōu)點(diǎn)。
[Abstract]:In order to solve the problem of serious degradation of camera images in fog and haze, a method of image de-fogging and reconstruction is proposed to reduce the influence of haze environment on image quality. Based on the fog polarization imaging model, the reconstruction parameters of each region of the image are estimated, and the global optimal reconstruction parameters are obtained. Polarization filtering method is used to estimate the polarization distribution of scattered light in fog sky, and adaptive bright channel method is used to calculate the intensity distribution of scattered light in infinite distance, so as to reconstruct the fog image. Finally, the texture information of polarization degree is used to enhance the reconstructed image. The method takes account of the inconsistency of atmospheric stray light parameters at different positions in the image, and calculates the reconstruction parameters of each region of the image separately, so as to obtain the globally optimal reconstructed parameter images. This method does not require that the image must contain sky area, and it has the advantage of better processing effect for gray-scale image.
【作者單位】： 合肥工業(yè)大學(xué)計(jì)算機(jī)與信息學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(No.61571177,No.61571175)
【分類號】：TP391.41

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