梯度域高动态范围压缩

Raanan Fattal, Dani Lischinski, M. Werman
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引用次数: 1467

摘要

提出了一种在传统显示器上呈现高动态范围图像的新方法。我们的方法概念简单,计算效率高,鲁棒性好,易于使用。我们通过衰减大梯度的大小来操纵亮度图像的梯度场。通过求解修正梯度场上的泊松方程,得到新的低动态范围图像。我们的结果表明,该方法能够剧烈的动态范围压缩,同时保留精细的细节和避免常见的伪影,如光晕,梯度反转,或局部对比度的损失。该方法还可以通过在黑暗区域显示细节来显著增强普通图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gradient domain high dynamic range compression
We present a new method for rendering high dynamic range images on conventional displays. Our method is conceptually simple, computationally efficient, robust, and easy to use. We manipulate the gradient field of the luminance image by attenuating the magnitudes of large gradients. A new, low dynamic range image is then obtained by solving a Poisson equation on the modified gradient field. Our results demonstrate that the method is capable of drastic dynamic range compression, while preserving fine details and avoiding common artifacts, such as halos, gradient reversals, or loss of local contrast. The method is also able to significantly enhance ordinary images by bringing out detail in dark regions.
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