In this paper we use a simplified model of the human visual system to explain why humans tend do prefer “sharpened” digital images. From this model we then derive a family of image prefilters specifically adapted to viewing conditions and user preference, allowing for the trade‐off between ringing and aliasing while maximizing image sharpness. We discuss how our filters can be applied in a variety of situations ranging from Monte Carlo rendering to image downscaling, and we show how they consistently give sharper results while having an efficient implementation and ease of use (there are no free parameters that require manual tuning). We demonstrate the effectiveness of our simple sharp prefilters through a user study that indicates a clear preference to our approach compared to the state‐of‐the‐art.

中文翻译：

---

用于清晰图像显示的预过滤器

在本文中，我们使用人类视觉系统的简化模型来解释为什么人类更喜欢“锐化”的数字图像。然后，我们从这个模型中推导出一系列专门适应观看条件和用户偏好的图像预过滤器，允许在振铃和混叠之间进行权衡，同时最大限度地提高图像清晰度。我们讨论了我们的过滤器如何应用于从蒙特卡洛渲染到图像缩小的各种情况，并展示了它们如何在高效实现和易用性的同时始终提供更清晰的结果（没有需要手动调整的自由参数） ）。我们通过用户研究证明了我们的简单锐预过滤器的有效性，该研究表明与最先进的方法相比，我们的方法明显偏爱。