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1. 发明申请

US20130034299A1 Robust Patch Regression based on In-Place Self-similarity for Image Upscaling 有权
标题翻译：基于图像升高的就地自相似性的鲁棒补丁回归
公开(公告)号：US20130034299A1
公开(公告)日：2013-02-07
申请号：US13565411
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32
CPC分类号： G06T3/4053
摘要： Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.
摘要翻译：公开了用于图像放大的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。输入图像由比例因子上采样，以获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像，其中输入图像比结果图像小一些。

2. 发明授权

US08731337B2 Denoising and artifact removal in image upscaling 有权
标题翻译：图像放大中去噪和人工制品去除
公开(公告)号：US08731337B2
公开(公告)日：2014-05-20
申请号：US13565379
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T3/4053
摘要： Methods and systems for denoising and artifact removal in image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. An upsampled image intermediate is obtained from the input image by upsampling. A result image is estimated, based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image. The input image is of a smaller scale than the result image. The estimating the result image further includes eliminating from the result image noise that is present in the input image.
摘要翻译：公开了在图像升高中去除和去除伪影的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。通过上采样从输入图像获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像。输入图像的尺寸小于结果图像。估计结果图像还包括消除输入图像中存在的结果图像噪声。

3. 发明授权

US08687923B2 Robust patch regression based on in-place self-similarity for image upscaling 有权
标题翻译：基于图像放大的就地自相似性的鲁棒贴片回归
公开(公告)号：US08687923B2
公开(公告)日：2014-04-01
申请号：US13565411
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T3/4053
摘要： Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.
摘要翻译：公开了用于图像放大的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。输入图像由比例因子上采样，以获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像，其中输入图像比结果图像小一些。

4. 发明授权

US08655109B2 Regression-based learning model for image upscaling 有权
标题翻译：基于回归的图像增大学习模型
公开(公告)号：US08655109B2
公开(公告)日：2014-02-18
申请号：US13565334
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T3/4053
摘要： Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
摘要翻译：公开了一种基于回归的学习模型在图像放大中的方法和系统。在一个实施例中，生成用于一组图像中的每一个的一组图像补丁对。每个图像补丁对包含自然图像和对应的缩小的较低分辨率图像。定义了至少部分基于图像补丁对集合的回归模型。回归模型表示缩小的较低分辨率图像的函数的梯度。至少部分基于回归模型，图像被放大。

5. 发明申请

US20130034313A1 Regression-Based Learning Model for Image Upscaling 有权
标题翻译：基于回归的图像升高学习模型
公开(公告)号：US20130034313A1
公开(公告)日：2013-02-07
申请号：US13565334
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32
CPC分类号： G06T3/4053
摘要： Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
摘要翻译：公开了一种基于回归的学习模型在图像放大中的方法和系统。在一个实施例中，生成用于一组图像中的每一个的一组图像补丁对。每个图像补丁对包含自然图像和对应的缩小的较低分辨率图像。定义了至少部分基于图像补丁对集合的回归模型。回归模型表示缩小的较低分辨率图像的函数的梯度。至少部分基于回归模型，图像被放大。

6. 发明申请

US20130034311A1 Denoising and Artifact Removal in Image Upscaling 有权
标题翻译：图像缩放中的去噪和人工去除
公开(公告)号：US20130034311A1
公开(公告)日：2013-02-07
申请号：US13565379
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/40
CPC分类号： G06T3/4053
摘要： Methods and systems for denoising and artifact removal in image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. An upsampled image intermediate is obtained from the input image by upsampling. A result image is estimated, based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image. The input image is of a smaller scale than the result image. The estimating the result image further includes eliminating from the result image noise that is present in the input image.
摘要翻译：公开了在图像升高中去除和去除伪影的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。通过上采样从输入图像获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像。输入图像的尺寸小于结果图像。估计结果图像还包括消除输入图像中存在的结果图像噪声。

7. 发明授权

US08917948B2 High-quality denoising of an image sequence 有权
标题翻译：图像序列的高质量去噪
公开(公告)号：US08917948B2
公开(公告)日：2014-12-23
申请号：US13481491
申请日：2012-05-25
申请人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
发明人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
IPC分类号： G06K9/40 , G06T3/40
CPC分类号： G06T3/4053 , G06T3/4076 , G06T5/002
摘要： A method, system, and computer-readable storage medium are disclosed for denoising an image sequence. A first patch is determined in a first frame in an image sequence comprising a plurality of frames. The first patch comprises a subset of image data in the first frame. Locations of a plurality of corresponding patches are determined in a neighboring set of the plurality of frames. One or more neighboring related patches are determined for each of the plurality of corresponding patches in a same frame as the respective one of the corresponding patches. A denoised first patch is generated by averaging image data in the one or more neighboring related patches in the neighboring set of the plurality of frames.
摘要翻译：公开了一种用于对图像序列进行去噪的方法，系统和计算机可读存储介质。在包括多个帧的图像序列中的第一帧中确定第一贴片。第一贴片包括第一帧中的图像数据的子集。在多个帧的相邻集合中确定多个对应的片段的位置。在与相应的补丁相应的一个相同的帧中，为多个对应的补丁中的每一个确定一个或多个相邻的相关补丁。通过对多个帧的相邻集合中的一个或多个相邻相关片段中的图像数据进行平均来生成去噪的第一贴片。

8. 发明申请

US20130071041A1 High-Quality Denoising of an Image Sequence 有权
标题翻译：图像序列的高质量去噪
公开(公告)号：US20130071041A1
公开(公告)日：2013-03-21
申请号：US13481491
申请日：2012-05-25
申请人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
发明人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
IPC分类号： G06K9/40
CPC分类号： G06T3/4053 , G06T3/4076 , G06T5/002
摘要： A method, system, and computer-readable storage medium are disclosed for denoising an image sequence. A first patch is determined in a first frame in an image sequence comprising a plurality of frames. The first patch comprises a subset of image data in the first frame. Locations of a plurality of corresponding patches are determined in a neighboring set of the plurality of frames. One or more neighboring related patches are determined for each of the plurality of corresponding patches in a same frame as the respective one of the corresponding patches. A denoised first patch is generated by averaging image data in the one or more neighboring related patches in the neighboring set of the plurality of frames.
摘要翻译：公开了一种用于对图像序列进行去噪的方法，系统和计算机可读存储介质。在包括多个帧的图像序列中的第一帧中确定第一贴片。第一贴片包括第一帧中的图像数据的子集。在多个帧的相邻集合中确定多个对应的片段的位置。在与相应的补丁相应的一个相同的帧中，为多个对应的补丁中的每一个确定一个或多个相邻的相关补丁。通过对多个帧的相邻集合中的一个或多个相邻相关片段中的图像数据进行平均来生成去噪的第一贴片。

9. 发明申请

US20130071040A1 High-Quality Upscaling of an Image Sequence 有权
标题翻译：高质量的图像序列升序
公开(公告)号：US20130071040A1
公开(公告)日：2013-03-21
申请号：US13481477
申请日：2012-05-25
申请人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
发明人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
IPC分类号： G06K9/36
CPC分类号： G06T3/4053 , G06T3/4076 , G06T5/002
摘要： A method, system, and computer-readable storage medium are disclosed for upscaling an image sequence. An upsampled frame is generated based on an original frame in an original image sequence comprising a plurality of frames. A smoothed image sequence is generated based on the original image sequence. A plurality of patches are determined in the upsampled frame. Each patch comprises a subset of image data in the upsampled frame. Locations of a plurality of corresponding patches are determined in a neighboring set of the plurality of frames in the smoothed image sequence. A plurality of high-frequency patches are generated. Each high-frequency patch is based on image data at the locations of the corresponding patches in the original image sequence. The plurality of high-frequency patches are added to the upsampled frame to generate a high-quality upscaled frame.
摘要翻译：公开了一种用于升高图像序列的方法，系统和计算机可读存储介质。基于包括多个帧的原始图像序列中的原始帧生成上采样帧。基于原始图像序列生成平滑的图像序列。在上采样帧中确定多个补丁。每个贴片包括上采样帧中的图像数据的子集。在平滑图像序列中的多个帧的相邻集合中确定多个对应的片段的位置。产生多个高频补丁。每个高频片基于原始图像序列中相应片段位置处的图像数据。将多个高频贴片添加到上采样帧以产生高质量的放大的帧。

10. 发明授权

US09087390B2 High-quality upscaling of an image sequence 有权
标题翻译：高质量的图像序列升序
公开(公告)号：US09087390B2
公开(公告)日：2015-07-21
申请号：US13481477
申请日：2012-05-25
申请人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
发明人： Hailin Jin , Alper Ayvaci , Zhe Lin , Scott D. Cohen
IPC分类号： G06K9/40 , G06T3/40
CPC分类号： G06T3/4053 , G06T3/4076 , G06T5/002
摘要： A method, system, and computer-readable storage medium are disclosed for upscaling an image sequence. An upsampled frame is generated based on an original frame in an original image sequence comprising a plurality of frames. A smoothed image sequence is generated based on the original image sequence. A plurality of patches are determined in the upsampled frame. Each patch comprises a subset of image data in the upsampled frame. Locations of a plurality of corresponding patches are determined in a neighboring set of the plurality of frames in the smoothed image sequence. A plurality of high-frequency patches are generated. Each high-frequency patch is based on image data at the locations of the corresponding patches in the original image sequence. The plurality of high-frequency patches are added to the upsampled frame to generate a high-quality upscaled frame.
摘要翻译：公开了一种用于升高图像序列的方法，系统和计算机可读存储介质。基于包括多个帧的原始图像序列中的原始帧生成上采样帧。基于原始图像序列生成平滑图像序列。在上采样帧中确定多个补丁。每个贴片包括上采样帧中的图像数据的子集。在平滑图像序列中的多个帧的相邻集合中确定多个对应的片段的位置。产生多个高频补丁。每个高频片基于原始图像序列中相应片段位置处的图像数据。将多个高频贴片添加到上采样帧以产生高质量的放大的帧。

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