【摘要】：針對霧霾和沙塵天氣下圖像降質,提出一種光補償色彩復原和逐像素透射率估計的單幅圖像可見度復原算法。沙塵顆粒對藍光吸收導致圖像偏黃,利用光補償方法可以消除偏色現象并轉換為霧圖。以最小顏色通道與其高斯函數的比值關系估計透射率,用中值濾波消除透射率紋理效應,恢復的透射率深度交替明顯,邊緣保持良好,不需要耗時的后處理操作,最后根據大氣散射模型恢復圖像。實驗結果表明,沙塵天氣處理效果較好,霧天圖像恢復的圖像飽和度適宜,明亮區(qū)域恢復得更為自然,運行時間較快。
[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】： 蘭州交通大學電子與信息工程學院;
【基金】：國家自然科學基金資助項目(No.61561030) 甘肅省財政廳基本科研業(yè)務費基金資助項目(No.214138) 蘭州交通大學教改基金資助項目(No.160012)~~
【分類號】：TP391.41

【相似文獻】

相關期刊論文 前2條

1 唐紅梅;申瑾;周亞同;韓力英;王霞;;霧霾天氣條件下車牌信息的識別[J];電視技術;2014年05期

2 ;[J];;年期

相關碩士學位論文 前2條

1 曾宇駿;霧天降質圖像增強處理技術研究[D];國防科學技術大學;2013年

2 孫張明;數字圖像去霧方法及其應用研究[D];天津大學;2014年

，

本文編號：2145497