【摘要】：針對(duì)霧霾和沙塵天氣下圖像降質(zhì),提出一種光補(bǔ)償色彩復(fù)原和逐像素透射率估計(jì)的單幅圖像可見度復(fù)原算法。沙塵顆粒對(duì)藍(lán)光吸收導(dǎo)致圖像偏黃,利用光補(bǔ)償方法可以消除偏色現(xiàn)象并轉(zhuǎn)換為霧圖。以最小顏色通道與其高斯函數(shù)的比值關(guān)系估計(jì)透射率,用中值濾波消除透射率紋理效應(yīng),恢復(fù)的透射率深度交替明顯,邊緣保持良好,不需要耗時(shí)的后處理操作,最后根據(jù)大氣散射模型恢復(fù)圖像。實(shí)驗(yàn)結(jié)果表明,沙塵天氣處理效果較好,霧天圖像恢復(fù)的圖像飽和度適宜,明亮區(qū)域恢復(fù)得更為自然,運(yùn)行時(shí)間較快。
[Abstract]:A single image visibility restoration algorithm based on photo-compensated color restoration and Pixel-by-pixel transmittance estimation is proposed for image degradation in haze and dust weather. The absorption of blue light by dust particles results in yellowing of the image, which can be eliminated by using light compensation method and converted into fog map. Based on the ratio of the minimum color channel to its Gao Si function, the transmissivity is estimated by using median filter to eliminate the transmissivity texture effect. The restored transmittance depth alternates obviously, the edges are kept well, and the time consuming post-processing operation is not required. Finally, the image is restored according to the atmospheric scattering model. The experimental results show that the effect of sand and dust weather processing is better, the image saturation of fog image restoration is suitable, the bright area is recovered more naturally, and the running time is faster.
【作者單位】： 蘭州交通大學(xué)電子與信息工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(No.61561030) 甘肅省財(cái)政廳基本科研業(yè)務(wù)費(fèi)基金資助項(xiàng)目(No.214138) 蘭州交通大學(xué)教改基金資助項(xiàng)目(No.160012)~~
【分類號(hào)】：TP391.41

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