光子学报
光子學報
광자학보
ACTA PHOTONICA SINICA
2010年
3期
553-558
,共6页
史世明%王岭雪%金伟其%赵源萌
史世明%王嶺雪%金偉其%趙源萌
사세명%왕령설%금위기%조원맹
图像融合%色彩传递%彩色夜视%控向金字塔%微光%红外
圖像融閤%色綵傳遞%綵色夜視%控嚮金字塔%微光%紅外
도상융합%색채전체%채색야시%공향금자탑%미광%홍외
Image fusion%Color transfer%Color night vision%Steerable pyramid%Low-level light visible%IR
为了获得符合人眼感知的彩色夜视图像,帮助观察者获取丰富的场景信息和舒适的观察效果,提出了一种基于多分辨率色彩传递的彩色夜视处理方法.结合微光与红外图像特点,对二者进行YUV空间拮抗视觉特性的彩色融合之后,采用控向金字塔对彩色融合图像(源图像)和参考图像各颜色通道进行多分辨率分解,计算子带图像的均值和标准方差,通过参考图像与源图像在各子带的方差比调整源图像的子带系数值,再经金字塔重构,最终使微光与红外彩色夜视图像获得类似参考图像的自然感色彩.分析了lαβ、YUV和RGB颜色空间对色彩传递的影响,并确定YUV颜色空间更适于多分辨率分解的色彩传递.相比传统的线性色彩传递方法,本方法不仅使彩色夜视图像拥有更符合真实场景的色彩,还可以提高其细节信息,改善场景感知,提升融合图像目标探测能力.
為瞭穫得符閤人眼感知的綵色夜視圖像,幫助觀察者穫取豐富的場景信息和舒適的觀察效果,提齣瞭一種基于多分辨率色綵傳遞的綵色夜視處理方法.結閤微光與紅外圖像特點,對二者進行YUV空間拮抗視覺特性的綵色融閤之後,採用控嚮金字塔對綵色融閤圖像(源圖像)和參攷圖像各顏色通道進行多分辨率分解,計算子帶圖像的均值和標準方差,通過參攷圖像與源圖像在各子帶的方差比調整源圖像的子帶繫數值,再經金字塔重構,最終使微光與紅外綵色夜視圖像穫得類似參攷圖像的自然感色綵.分析瞭lαβ、YUV和RGB顏色空間對色綵傳遞的影響,併確定YUV顏色空間更適于多分辨率分解的色綵傳遞.相比傳統的線性色綵傳遞方法,本方法不僅使綵色夜視圖像擁有更符閤真實場景的色綵,還可以提高其細節信息,改善場景感知,提升融閤圖像目標探測能力.
위료획득부합인안감지적채색야시도상,방조관찰자획취봉부적장경신식화서괄적관찰효과,제출료일충기우다분변솔색채전체적채색야시처리방법.결합미광여홍외도상특점,대이자진행YUV공간길항시각특성적채색융합지후,채용공향금자탑대채색융합도상(원도상)화삼고도상각안색통도진행다분변솔분해,계산자대도상적균치화표준방차,통과삼고도상여원도상재각자대적방차비조정원도상적자대계수치,재경금자탑중구,최종사미광여홍외채색야시도상획득유사삼고도상적자연감색채.분석료lαβ、YUV화RGB안색공간대색채전체적영향,병학정YUV안색공간경괄우다분변솔분해적색채전체.상비전통적선성색채전체방법,본방법불부사채색야시도상옹유경부합진실장경적색채,환가이제고기세절신식,개선장경감지,제승융합도상목표탐측능력.
In order to acquire color night vision images accordant with human perception,and help observers to get more abundant scene information,a kind of color night vision method based on color transfer in multi-decomposition structure is proposed.Concerning their characteristics,low-level light visible and IR images are combined into a color fused image (source image) based on opponent vision property in YUV color space.Then the steerable pyramid is used to decompose the fused image and a colorful day-time reference image into multi-scale sub-band images.The mean and standard deviation of each sub-band image are calculated.Each sub-band coefficient of source image is modified according to the deviation ratio of the reference image to the source image in respective color channels.Finally,reconstruct the transferred image and obtain a low-level light visible/IR color night vision image with comfortable color appearance similar to the reference image.The transferred results in lαβ,YUV and RGB space are analyzed.YUV space is recommended to be the best color space for multi-decomposition color transfer.Comparing with traditional linear color transfer,the proposed method can make a color night vision image more realistic and natural,enhance the details,improve the situation perception and target detection ability.