红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
6期
2021-2026
,共6页
图像增强%Retinex理论%三边滤波%图像融合
圖像增彊%Retinex理論%三邊濾波%圖像融閤
도상증강%Retinex이론%삼변려파%도상융합
image enhancement%Retinex theory%trilateral filter%image fusion
在低照度环境下,摄像机捕捉到的夜间视频质量较差,常出现光照不足、对比度低、模糊不清和颜色偏移等问题,影响了视频的判读和理解。针对夜间视频存在的问题,提出不同时段空间背景融合技术和根据Retinex理论利用三边滤波器提取亮度图像的照度分量并结合Sigmiod非线性拉伸函数对反射分量进行增强处理以突出细节达到图像增强的目的。经实验证明,提出的算法能够提高低照度夜间视频的整体视觉效果,图像的亮度、对比度、清晰度得到改善,突出了视频图像细节,保留了视频重要内容,增强结果自然清晰,避免了图像失真等问题,解决了夜间视频增强中常出现的光晕、鬼影、颜色偏移等问题,便于视频的判读与分析。
在低照度環境下,攝像機捕捉到的夜間視頻質量較差,常齣現光照不足、對比度低、模糊不清和顏色偏移等問題,影響瞭視頻的判讀和理解。針對夜間視頻存在的問題,提齣不同時段空間揹景融閤技術和根據Retinex理論利用三邊濾波器提取亮度圖像的照度分量併結閤Sigmiod非線性拉伸函數對反射分量進行增彊處理以突齣細節達到圖像增彊的目的。經實驗證明,提齣的算法能夠提高低照度夜間視頻的整體視覺效果,圖像的亮度、對比度、清晰度得到改善,突齣瞭視頻圖像細節,保留瞭視頻重要內容,增彊結果自然清晰,避免瞭圖像失真等問題,解決瞭夜間視頻增彊中常齣現的光暈、鬼影、顏色偏移等問題,便于視頻的判讀與分析。
재저조도배경하,섭상궤포착도적야간시빈질량교차,상출현광조불족、대비도저、모호불청화안색편이등문제,영향료시빈적판독화리해。침대야간시빈존재적문제,제출불동시단공간배경융합기술화근거Retinex이론이용삼변려파기제취량도도상적조도분량병결합Sigmiod비선성랍신함수대반사분량진행증강처리이돌출세절체도도상증강적목적。경실험증명,제출적산법능구제고저조도야간시빈적정체시각효과,도상적량도、대비도、청석도득도개선,돌출료시빈도상세절,보류료시빈중요내용,증강결과자연청석,피면료도상실진등문제,해결료야간시빈증강중상출현적광훈、귀영、안색편이등문제,편우시빈적판독여분석。
The picture quality of the video is very poor under the low illumination night environment, it often appears low contrast, blurred, color offset, etc, and it has influence on interpretation and understanding of the video. For solving the problem of nighttime video, the different time space background fusion technology was proposed based on moving object and a new Retinex image enhancement algorithm. This method improved the whole brightness and the contrast of the video through the strategy of adaptive brightness adjustment. Then the illumination components of brightness images were extracted by the trilateral filter based on the theory of Retinex. The reflecting components of images were obtained through compressing illumination. It was because that the reflecting components of images included large number of particulars and marginal information of images, reflecting components were enhanced through integrating Sigmiod non- linear stretching function. At last, it enhanced the saturation component to get more bright colors. The experiments show that the algorithm can improve the visual effect of the low illumination video at nighttime. The image brightness, contrast, sharpness is improved, and the method not only enhanced the video image detail, but also retained the important content of the video. The method avoid the distortion of images, such as, halo, ghost, color deviation.