本文選題：霧塵圖像復(fù)原 + 兩次雙邊濾波��； 參考：《圖學(xué)學(xué)報》2017年03期

【摘要】：煤礦井下智能視頻監(jiān)控系統(tǒng)在各大煤礦得到廣泛的應(yīng)用,然而由于井下條件惡劣,視頻監(jiān)控中經(jīng)常遇到伴有各種隨機噪聲的塵霧圖像。針對降質(zhì)嚴重、視覺效果差的監(jiān)控圖像,提出一種基于兩次雙邊濾波的快速圖像去霧方法(FDA-DBA)。首先利用四叉樹方法獲取全局環(huán)境光亮度,然后對最小通道圖采用雙邊濾波器獲取粗略的大氣散射圖并進一步優(yōu)化;其次利用容差機制進行透射率修正,解決明亮區(qū)域處理后顏色失真問題;最后利用大氣散射模型復(fù)原霧塵圖像。實驗表明,該算法能較準確地恢復(fù)場景的色彩和清晰度,可獲得較真實的清晰無霧圖像,具有較高的準確性和魯棒性,并且算法的時間復(fù)雜度與圖像像素數(shù)呈線性函數(shù),適合于煤礦智能視頻監(jiān)控環(huán)境。
[Abstract]:Intelligent video surveillance system in coal mine has been widely used in various coal mines. However, due to the poor conditions in the underground, the video surveillance often meets the dust fog image with various random noises. A fast image de-fogging method based on two-stage bilateral filtering is proposed for monitoring images with severe degradation and poor visual effect. First, the global ambient luminance is obtained by quadtree method, then the rough atmospheric scattering image is obtained by using a two-sided filter for the minimum channel map, and then the transmissivity correction is carried out by using the tolerance mechanism. The problem of color distortion after bright region processing is solved, and the fog dust image is reconstructed by atmospheric scattering model. The experiments show that the algorithm can restore the color and sharpness of the scene accurately, and can obtain a clear and fog free image with high accuracy and robustness. Moreover, the time complexity of the algorithm and the number of pixels of the image are linear functions. It is suitable for coal mine intelligent video surveillance environment.
【作者單位】： 遼寧工程技術(shù)大學(xué)礦業(yè)技術(shù)學(xué)院;遼寧工程技術(shù)大學(xué)礦業(yè)學(xué)院;
【基金】：國家自然科學(xué)基金項目(50774041)
【分類號】：TD76

【參考文獻】

相關(guān)期刊論文 前10條

1 王，

本文編號：1868315