GradientShop: A gradient-domain optimization framework for image and video filtering
GradientShop: A gradient-domain optimization framework for image and video filtering
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DOI：
10.1145/1731047.1731048
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发表时间：
2010-04
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影响因子：
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通讯作者：
Pravin Bhat;C. L. Zitnick;Michael F. Cohen;B. Curless
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文献类型：
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作者：
Pravin Bhat;C. L. Zitnick;Michael F. Cohen;B. Curless
我们提出了一个优化框架，用于探索图像和视频处理的梯度域解决方案。所提出的框架将梯度域文献中的许多关键思想统一在单个优化公式下。我们希望这个通用框架能够让读者快速获得对该领域的总体了解并贡献自己的新想法。我们提出了一种用于测量局部梯度显着性的新指标，该指标可以识别产生长且连贯边缘的显着梯度，即使单个梯度很微弱。我们提出了一种用于梯度约束的通用加权方案，可以改善结果的视觉外观。我们还提供了一种以一致的方式将梯度域滤波器应用于视频和视频流的解决方案。最后，我们展示了我们的公式在为各种图像处理任务创建有效且易于实施的解决方案方面的实用性。为了练习我们的公式，我们创建了一个新的基于显着性的锐化滤波器和一个伪图像重新照明应用程序。我们还重新审视并改进了先前定义的过滤器，例如非真实感渲染、图像去块和图像上的稀疏数据插值（例如，使用优化的着色）。
We present an optimization framework for exploring gradient-domain solutions for image and video processing. The proposed framework unifies many of the key ideas in the gradient-domain literature under a single optimization formulation. Our hope is that this generalized framework will allow the reader to quickly gain a general understanding of the field and contribute new ideas of their own. We propose a novel metric for measuring local gradient saliency that identifies salient gradients that give rise to long, coherent edges, even when the individual gradients are faint. We present a general weighting scheme for gradient constraints that improves the visual appearance of results. We also provide a solution for applying gradient-domain filters to videos and video streams in a coherent manner. Finally, we demonstrate the utility of our formulation in creating effective yet simple to implement solutions for various image-processing tasks. To exercise our formulation we have created a new saliency-based sharpen filter and a pseudo image-relighting application. We also revisit and improve upon previously defined filters such as nonphotorealistic rendering, image deblocking, and sparse data interpolation over images (e.g., colorization using optimization).