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21. 发明申请

US20100046829A1 IMAGE STYLIZATION USING SPARSE REPRESENTATION 有权
标题翻译：使用稀疏表示的图像分析
公开(公告)号：US20100046829A1
公开(公告)日：2010-02-25
申请号：US12323677
申请日：2008-11-26
申请人： Dhruv Mahajan , Sylvain Paris , Wojciech Matusik
发明人： Dhruv Mahajan , Sylvain Paris , Wojciech Matusik
IPC分类号： G06K9/54
CPC分类号： G06K9/40 , G06K9/6249 , G06T5/002 , G06T2207/20021 , G06T2207/20081
摘要： A computer-implemented method that includes segmenting a training image into training image patches, where each training image patch is represented by a linear combination of dictionary image patches from an image dictionary, and each dictionary image patch has a sparse representation coefficient. The method includes segmenting a stylized training image into stylized training image patches, where each stylized training image patch is represented by a linear combination of stylized dictionary image patches from a stylized image dictionary, and each stylized dictionary image patch has a sparse representation coefficient. The method also includes training the image dictionary with the training image patches and the stylized image dictionary with the stylized training image patches in a substantially simultaneous manner. The sparse representation coefficient for each training image patch is substantially similar to the sparse representation coefficient for the corresponding stylized training image patch.
摘要翻译：一种计算机实现的方法，其包括将训练图像分割成训练图像斑块，其中每个训练图像斑块由来自图像词典的词典图像斑块的线性组合表示，并且每个词典图像斑块具有稀疏表示系数。该方法包括将风格化的训练图像分割成风格化的训练图像斑块，其中每个风格化训练图像斑块由来自风格化图像词典的风格化字典图像补片的线性组合表示，并且每个风格化字典图像补片具有稀疏表示系数。该方法还包括以基本上同时的方式用训练图像补丁和风格化的图像词典与风格化的训练图像补丁一起训练图像词典。每个训练图像斑块的稀疏表示系数基本上类似于相应的风格化训练图像斑块的稀疏表示系数。

22. 发明授权

US09235063B2 Lens modeling 有权
标题翻译：镜头建模
公开(公告)号：US09235063B2
公开(公告)日：2016-01-12
申请号：US12957300
申请日：2010-11-30
申请人： Sylvain Paris , Eric R. Kee , Simon Chen , Jue Wang
发明人： Sylvain Paris , Eric R. Kee , Simon Chen , Jue Wang
IPC分类号： G06G7/48 , G02C7/02
CPC分类号： G02C7/028
摘要： Techniques are disclosed relating to lens modeling. In one embodiment, a lens model may be generated based on reference images of a pre-determined, known geometric pattern. The lens model may represent a spatially variant blur pattern across the image field of the lens used to capture the reference images. In one embodiment, the lens model may include Gaussian approximations of the blur that may minimize the difference between a location within a reference image and a corresponding location of a pre-determined, known geometric pattern. In one embodiment, the generated lens model may be applied to deblur a new image.
摘要翻译：公开了关于透镜建模的技术。在一个实施例中，可以基于预定的已知几何图案的参考图像来生成透镜模型。透镜模型可以表示跨越用于捕获参考图像的透镜的图像场的空间变化的模糊图案。在一个实施例中，透镜模型可以包括模糊的高斯近似，其可以最小化参考图像中的位置与预定的已知几何图案的对应位置之间的差异。在一个实施例中，生成的透镜模型可以被应用于去掉新图像。

23. 发明授权

US08655097B2 Adaptive bilateral blur brush tool 有权
标题翻译：自适应双边模糊画笔工具
公开(公告)号：US08655097B2
公开(公告)日：2014-02-18
申请号：US12324251
申请日：2008-11-26
申请人： Jen-Chan Chien , Michael W. Tao , Sylvain Paris
发明人： Jen-Chan Chien , Michael W. Tao , Sylvain Paris
IPC分类号： G06K9/40
CPC分类号： G06T5/005 , G06T5/20 , G06T2207/20104 , G06T2207/20192
摘要： A system and method for a blur brush performing adaptive bilateral filtering is disclosed. The method may include receiving user input selecting an area of an image to be filtered, such as by pointing to the image area using the blur brush. The selected image may comprise an edge and a plurality of pixels. The method may operate to the blur brush identifying the edge in the selected image area. The method may operate to apply a filter tool (e.g., a bilateral filter) to the selected image area, while preserving the edge. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs.
摘要翻译：公开了一种执行自适应双边滤波的模糊刷的系统和方法。该方法可以包括例如通过使用模糊画面指向图像区域来接收选择要被滤波的图像的区域的用户输入。所选择的图像可以包括边缘和多个像素。该方法可以对识别所选图像区域中的边缘的模糊画笔进行操作。该方法可以操作以在保留边缘的同时将过滤器工具（例如，双边过滤器）应用于所选择的图像区域。这些方法可以由在CPU或者GPU上并行执行的程序指令来实现。

24. 发明申请

US20130127903A1 System and Method for Reducing the Appearance of Residuals in Gradient-Based Image Compositing 有权
标题翻译：用于减少梯度图像合成中残留物外观的系统和方法
公开(公告)号：US20130127903A1
公开(公告)日：2013-05-23
申请号：US12393881
申请日：2009-02-26
申请人： Sylvain Paris
发明人： Sylvain Paris
IPC分类号： G09G5/00
CPC分类号： G06T11/60 , G09G2320/0266 , G09G2340/12
摘要： A system and method are proposed for performing gradient-based compositing in a manner that reduces the appearance of residual errors as compared to traditional techniques. In embodiments, a target gradient field may be determined for a composite image and a solution composite image may be sought which minimizes a weighted aggregate error between the gradient field of the composite image and the target gradient field. The weighted aggregate error may be calculated such that a greater weight is placed on residuals occurring in smooth regions than on those occurring in textured regions, since residuals in textured regions may be less noticeable. In some embodiments, a weighted aggregate error may be defined as a weighted least-squares sum and/or minimized by solving a weighted Poisson equation. The computational cost of solving the weighted Poisson equation may be mitigated by ensuring that the equation is linear.
摘要翻译：提出了一种系统和方法，用于以与传统技术相比减少残余误差的出现的方式执行基于梯度的合成。在实施例中，可以针对合成图像确定目标梯度场，并且可以搜索解最小化合成图像的梯度场与目标梯度场之间的加权聚集误差的解决方案合成图像。可以计算加权聚集误差，使得在平滑区域中发生的残余物上比在纹理区域中发生的残余物更大的权重，因为纹理区域中的残差可能不那么显着。在一些实施例中，加权聚合误差可以通过求解加权泊松方程来定义为加权最小二乘和和/或最小化。通过确定方程是线性的，可以减轻求解加权泊松方程的计算成本。

25. 发明申请

US20130121606A1 Adaptive Bilateral Blur Brush Tool 有权
标题翻译：自适应双面模糊画笔工具
公开(公告)号：US20130121606A1
公开(公告)日：2013-05-16
申请号：US12324251
申请日：2008-11-26
申请人： Jen-Chan Chien , Michael W. Tao , Sylvain Paris
发明人： Jen-Chan Chien , Michael W. Tao , Sylvain Paris
IPC分类号： G06K9/40
CPC分类号： G06T5/005 , G06T5/20 , G06T2207/20104 , G06T2207/20192
摘要： A system and method for a blur brush performing adaptive bilateral filtering is disclosed. The method may include receiving user input selecting an area of an image to be filtered, such as by pointing to the image area using the blur brush. The selected image may comprise an edge and a plurality of pixels. The method may operate to the blur brush identifying the edge in the selected image area. The method may operate to apply a filter tool (e.g., a bilateral filter) to the selected image area, while preserving the edge. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs.
摘要翻译：公开了一种执行自适应双边滤波的模糊刷的系统和方法。该方法可以包括例如通过使用模糊画面指向图像区域来接收选择要被滤波的图像的区域的用户输入。所选择的图像可以包括边缘和多个像素。该方法可以对识别所选图像区域中的边缘的模糊画笔进行操作。该方法可以操作以在保留边缘的同时将过滤器工具（例如，双边过滤器）应用于所选择的图像区域。这些方法可以由在CPU或者GPU上并行执行的程序指令来实现。

26. 发明授权

US08081838B2 System and method for providing two-scale tone management of an image 有权
标题翻译：提供图像两度色调管理的系统和方法
公开(公告)号：US08081838B2
公开(公告)日：2011-12-20
申请号：US11725095
申请日：2007-03-16
申请人： Soonmin Bae , Fréderic Durand , Sylvain Paris
发明人： Soonmin Bae , Fréderic Durand , Sylvain Paris
IPC分类号： G06K9/00 , G06K9/44
CPC分类号： G06T5/007 , G06T5/40 , G06T2207/20028
摘要： The present invention provides two-scale tone management of an input image. A method of providing two-scale tone management contains the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image. A system contains a memory and a processor, where the processor is configured by the memory to perform the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image.
摘要翻译：本发明提供了输入图像的两尺度音调管理。提供两级音调管理的方法包括以下步骤：将输入图像分离成基本层和细节层; 将模型图像分离成基本层和细节层; 全局对比分析输入图像; 本地分析输入图像以进行局部对比度; 并执行输入图像的细节保存。系统包含存储器和处理器，其中处理器由存储器配置以执行以下步骤：将输入图像分离成基本层和细节层; 将模型图像分离成基本层和细节层; 全局对比分析输入图像; 本地分析输入图像以进行局部对比度; 并执行输入图像的细节保存。

27. 发明申请

US20080226190A1 System and method for providing gradient preservation for image processing 有权
标题翻译：提供图像处理梯度保存的系统和方法
公开(公告)号：US20080226190A1
公开(公告)日：2008-09-18
申请号：US11725096
申请日：2007-03-16
申请人： Soonmin Bae , Frederic Durand , Sylvain Paris
发明人： Soonmin Bae , Frederic Durand , Sylvain Paris
IPC分类号： G06K9/42
CPC分类号： G06T5/50 , G06T5/007 , G06T5/40 , G06T7/44 , G06T2207/20028 , G06T2207/20192 , G06T2207/20208
摘要： The present invention provides gradient preservation of an input image. A method of providing gradient preservation of an input image, comprises the steps of: computing gradient fields of the input image; computing gradient fields of a remapped image, wherein the remapped image is the input image remapped; comparing a gradient of the remapped image to a predefined range of acceptable values, wherein the acceptable values depend on the input gradient; changing values of the gradient of the remapped image if the values of the gradient of the remapped image are not within the predefined range of acceptable values depending on the input gradient, resulting in x and y components of a modified gradient; and reconstructing the input image using the x and y components of the modified gradient.
摘要翻译：本发明提供输入图像的梯度保存。提供输入图像的梯度保存的方法包括以下步骤：计算输入图像的梯度场; 计算重映射图像的梯度场，其中重新映射的图像是重新映射的输入图像; 将重映射图像的梯度与可接受值的预定范围进行比较，其中可接受值取决于输入梯度; 如果重映射图像的梯度的值不在取决于输入梯度的可接受值的预定范围内，则改变重映射图像的梯度的值，导致修改梯度的x和y分量; 并使用修改的梯度的x和y分量来重建输入图像。

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