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Automatic Content-Aware Non-photorealistic Rendering of Images

机译:自动内容感知的图像非照片呈现图像

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Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods decompose an image using edge preserving filters and work on the resulting base and detail layers independently to achieve desired visual effects. We propose a new approach for content-aware non-photorealistic rendering of images where we manipulate the visually salient and non-salient regions separately. We propose a novel content-aware framework in order to render an image for applications such as detail exaggeration, artificial smoothing, and image abstraction. The processed regions of the image are blended seamlessly with the rest of the image for all these applications. We demonstrate that content awareness of the proposed method leads to automatic generation of non-photorealistic rendering of the same image for the different applications mentioned above.
机译:非照片拟教渲染技术在图像特征上工作,并且经常操纵一组特征,例如边缘和纹理,以实现场景的期望描绘。大多数计算摄影方法使用边缘保存滤波器分解图像,并独立地在得到的基础和细节层上工作以实现所需的视觉效果。我们提出了一种新方法,用于分别操纵视觉突出和非凸极区域的图像的内容感知非照片拟真渲染。我们提出了一种新的内容感知框架,以便为诸如细节夸张,人工平滑和图像抽象等应用程序的图像渲染图像。图像的处理后区域与所有这些应用程序的其余图像无缝混合。我们证明所提出的方法的内容意识导致自动生成用于上述不同应用的相同图像的非光容化呈现。

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