计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
10期
176-179,207
,共5页
快速高光去除%双边滤波%最大漫反射色度%双色反射模型%线性插值%图像处理
快速高光去除%雙邊濾波%最大漫反射色度%雙色反射模型%線性插值%圖像處理
쾌속고광거제%쌍변려파%최대만반사색도%쌍색반사모형%선성삽치%도상처리
fast highlight removal%bilateral filter%maximum diffuse chromaticity%dichromatic reflection model%linear interpolation%image processing
在各向异性的物体中,高光被视为是漫反射分量以及镜面反射分量的一种线性组合。单幅图像的高光去除是计算机视觉中一项非常有挑战性的课题。很多方法试图将漫反射分量、镜面反射分量进行分离,然而这些方法往往需要图像分割等预处理过程,方法鲁棒性较差且比较耗时。基于双边滤波器设计了一种高效的高光消除方法,该方法利用最大漫反射色度存在着局部平滑这一性质,使用双边滤波器对色度的最大取值进行传播与扩散,从而完成整幅图像高光去除。方法采用一种加速策略对双边滤波器进行速度优化,与目前流行的方法相比,有效提升了方法的执行效率。与传统方法相比,该方法高光去除效果更好,处理速度更快,非常适用于一些实时应用的场合。
在各嚮異性的物體中,高光被視為是漫反射分量以及鏡麵反射分量的一種線性組閤。單幅圖像的高光去除是計算機視覺中一項非常有挑戰性的課題。很多方法試圖將漫反射分量、鏡麵反射分量進行分離,然而這些方法往往需要圖像分割等預處理過程,方法魯棒性較差且比較耗時。基于雙邊濾波器設計瞭一種高效的高光消除方法,該方法利用最大漫反射色度存在著跼部平滑這一性質,使用雙邊濾波器對色度的最大取值進行傳播與擴散,從而完成整幅圖像高光去除。方法採用一種加速策略對雙邊濾波器進行速度優化,與目前流行的方法相比,有效提升瞭方法的執行效率。與傳統方法相比,該方法高光去除效果更好,處理速度更快,非常適用于一些實時應用的場閤。
재각향이성적물체중,고광피시위시만반사분량이급경면반사분량적일충선성조합。단폭도상적고광거제시계산궤시각중일항비상유도전성적과제。흔다방법시도장만반사분량、경면반사분량진행분리,연이저사방법왕왕수요도상분할등예처리과정,방법로봉성교차차비교모시。기우쌍변려파기설계료일충고효적고광소제방법,해방법이용최대만반사색도존재착국부평활저일성질,사용쌍변려파기대색도적최대취치진행전파여확산,종이완성정폭도상고광거제。방법채용일충가속책략대쌍변려파기진행속도우화,여목전류행적방법상비,유효제승료방법적집행효솔。여전통방법상비,해방법고광거제효과경호,처리속도경쾌,비상괄용우일사실시응용적장합。
In inhomogeneous objects, highlights are linear combinations of diffuse and specular reflection components, and highlight removal from a single input image is treated as a non-trivial task in computer vision. A number of methods have been proposed to separate or decompose diffuse and specular reflection components. However, all methods require explicit color segmentation process, causing low robustness and high computational complexity. In this paper, an effective specula highlight removal method using the bilateral filter is proposed. The method utilizes a key property-the maximum diffuse chromaticity in local patches in colorful images generally changes smoothly. Using such observation, then the max-imum diffuse chromaticity values of the specular pixels are computed by directly applying bilateral filter to the maximum fraction of the color components of the original image, such that specular highlight can be removed ultimately. The fast bilateral filtering techniques is utilized to enable the method to run much faster than the state-of-the-art. Compared to tradi-tional methods, the method can get much better results and faster speed, which is very well suited for real-time applications.