Shadow Removal via Flash/Noflash Illumination

Cheng Lu, M. S. Drew, G. Finlayson
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引用次数: 12

Abstract

Shadows bedevil multimedia applications, e.g. seeing into shadow regions in surveillance video. Model-based and non-model based, statistical methods, spatial, temporal, and invariant-based methods have been devised for combatting the shadow problem. Here we take a different approach, by attenuating the shadow by utilizing a second image under another illuminant to remove the effect of shadow-edges from an edge map of each frame. As a precursor step, we examine flash/noflash still image pairs. A flash image provides lessened shadows, but other shadows are produced. We can produce a flash-only (no ambient) image by subtracting the two images, but several artifacts remain. Instead, we have used the pure-flash image to detect the ambient shadows [ICME06]. However that method may fail when there are flash-shadows or specularities in the copy region. Here we manipulate the gradient field using a smoothing step including the directionality of edges near the shadow boundary, with improved results
通过闪光/无闪光照明去除阴影
阴影困扰着多媒体应用,例如在监控视频中看到阴影区域。基于模型和非基于模型的方法、统计方法、空间、时间和基于不变量的方法已经被设计用于对抗阴影问题。这里我们采用不同的方法,通过利用另一个光源下的第二张图像来衰减阴影,从每帧的边缘图中去除阴影边缘的影响。作为一个先导步骤,我们检查闪光/无闪光的静止图像对。闪光图像可以减少阴影,但也会产生其他阴影。我们可以通过减去这两个图像来产生一个只有闪光灯(没有环境)的图像,但仍然存在一些伪影。相反,我们使用纯闪光图像来检测环境阴影[ICME06]。但是,当复制区域中存在闪光阴影或镜面时,该方法可能会失败。在这里,我们使用平滑步骤来处理梯度场,包括阴影边界附近边缘的方向性,得到了改进的结果
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