Rerendering landscape photographs

Pu Wang, Diana Bicazan, A. Ghosh
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Abstract

We present a practical approach for realistic rerendering of landscape photographs. We extract a view dependent depth map from single input landscape images by examining global and local pixel color distributions and demonstrate applications of depth dependent rendering such as novel viewpoints, digital refocusing and dehazing. We also present a simple approach to relight the input landscape photograph under novel sky illumination. Here, we assume diffuse reflectance and relight landscapes by estimating the irradiance due the sky in the input photograph. Finally, we also take into account specular reflections on water surfaces which are common in landscape photography and demonstrate a semiautomatic process for relighting scenes with still water.
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重新渲染风景照片
我们提出了一种实用的方法来逼真地再现风景照片。我们通过检查全局和局部像素颜色分布,从单输入景观图像中提取视图相关深度图,并演示深度相关渲染的应用,如新视点、数字重聚焦和去雾。我们还提出了一种简单的方法来在新的天空照明下重新照亮输入的景观照片。在这里,我们通过估计输入照片中天空的辐照度来假设漫反射和光照景观。最后,我们还考虑了在水面上的镜面反射,这在风景摄影中很常见,并演示了用静水重新照明场景的半自动过程。
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