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Feature enhancement by volumetric unsharp masking

机译:通过体积不清晰的蒙版增强功能

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摘要

Feature enhancement is important for the interpretation of complex structures and the detection of local details in volume visualization. We present a simple and effective method, volumetric unsharp masking, to enhance local contrast of features. In general, unsharp masking is an operation that adds the scaled high-frequency part of the signal to itself. The signal in this paper is the radiance at each sample point in the ray-casting based volume rendering, and the radiance depends on both transfer functions and lighting. Our volumetric unsharp masking modulates the radiance by adding back the scaled difference between the radiance and the smoothed radiance. This local color modulation does not change the shape of features due to the same opacity, but it does enhance local contrast of structures in a unified manner. We implemented volumetric unsharp masking at interactive frame rates based on current GPU features, and performed experiments on various volume data sets to validate this local contrast enhancement. The results showed that volumetric unsharp masking reveals more local details and improves depth perception.
机译:特征增强对于复杂结构的解释和体积可视化中局部细节的检测很重要。我们提出了一种简单有效的方法,即体积虚锐遮罩,以增强特征的局部对比度。通常,锐化屏蔽是一种将信号的缩放高频部分添加到自身的操作。本文中的信号是基于光线投射的体绘制中每个采样点的辐射,并且辐射取决于传递函数和照明。我们的体积模糊锐化蒙版通过将辐射度和平滑辐射度之间的比例差加回去来调制辐射度。由于相同的不透明度,这种局部颜色调制不会更改特征的形状,但是会以统一的方式增强结构的局部对比度。我们基于当前的GPU功能,以交互帧速率实现了体积不锐化的蒙版,并对各种体积数据集进行了实验,以验证这种局部对比度增强。结果表明,体积不清晰的掩盖揭示了更多的局部细节,并改善了深度感知。

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