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1. 发明授权

US09779491B2 Algorithm and device for image processing 有权
公开(公告)号：US09779491B2
公开(公告)日：2017-10-03
申请号：US14826961
申请日：2015-08-14
申请人： Nikon Corporation
发明人： Radka Tezaur , Gazi Ali , Tetsuji Kamata
IPC分类号： G06T5/00 , G06T5/20
CPC分类号： G06T5/20 , G06T5/004 , G06T2207/10024 , G06T2207/20016
摘要： Deblurring a blurry image (14) includes the steps of (i) computing a spatial mask (256); (ii) computing a modified blurry image (264) using the blurry image (14) and the spatial mask (256); and (iii) computing a latent sharp image (16) using the modified blurry image (264) and a point spread function (260). Additionally, the image (714) to can be analyzed to identify areas of the image (714) that are suitable for point spread function estimation. Moreover, a region point spread function (1630) can be analyzed to classify the point spread function(s) as representing (i) motion blur, (ii) defocus blur, or (iii) mixed motion blur and defocus blur. A point spread function (2670) can also be estimated.

2. 发明申请

US20170365046A1 ALGORITHM AND DEVICE FOR IMAGE PROCESSING 审中-公开
公开(公告)号：US20170365046A1
公开(公告)日：2017-12-21
申请号：US15694626
申请日：2017-09-01
申请人： Nikon Corporation
发明人： Radka Tezaur , Gazi Ali , Tetsuji Kamata
IPC分类号： G06T5/20 , G06T5/00
CPC分类号： G06T5/20 , G06T5/004 , G06T2207/10024 , G06T2207/20016
摘要： Deblurring a blurry image (14) includes the steps of (i) computing a spatial mask (256); (ii) computing a modified blurry image (264) using the blurry image (14) and the spatial mask (256); and (iii) computing a latent sharp image (16) using the modified blurry image (264) and a point spread function (260). Additionally, the image (714) to can be analyzed to identify areas of the image (714) that are suitable for point spread function estimation. Moreover, a region point spread function (1630) can be analyzed to classify the point spread function(s) as representing (i) motion blur, (ii) defocus blur, or (iii) mixed motion blur and defocus blur. A point spread function (2670) can also be estimated

3. 发明授权

US09589328B2 Globally dominant point spread function estimation 有权
标题翻译：全局显性点扩散函数估计
公开(公告)号：US09589328B2
公开(公告)日：2017-03-07
申请号：US14437966
申请日：2013-03-07
申请人： NIKON CORPORATION
发明人： Gazi Ali , Li Hong , Radka Tezaur , Mark Takita
IPC分类号： G06K9/40 , G06T5/00 , G06K9/52 , G06T7/00 , G06T11/00 , G06K9/46
CPC分类号： G06T5/003 , G06K9/40 , G06K9/527 , G06K2009/4666 , G06T5/002 , G06T5/006 , G06T11/003 , G06T2207/10004 , G06T2207/20012 , G06T2207/20021 , G06T2207/20104 , G06T2207/20182 , G06T2207/20201 , G06T2210/36
摘要： A group point spread function (238) for a blurry image (18) can be determined by dividing the blurry image (18) into a plurality of image regions (232), estimating a region point spread function (234) for at least two of the image regions (232); and utilizing at least two of the region point spread functions (234) to determine the group point spread function (238). The group point spread function (238) can be determined by the decomposition of the estimated region point spread functions (234) into some basis function, and subsequently determining a representative coefficient from the basis functions of the region point spread functions (234) to generate the group point spread function (238).
摘要翻译：可以通过将模糊图像（18）划分成多个图像区域（232）来确定用于模糊图像（18）的组点扩散函数（238），估计用于至少两个的区域点扩展函数（234）图像区域（232）; 以及利用所述区域点扩展函数（234）中的至少两个来确定所述群点扩散函数（238）。可以通过将估计的区域点扩散函数（234）分解成某些基函数来确定群点扩散函数（238），随后根据区域点扩展函数（234）的基函数确定代表系数，以产生组点扩散函数（238）。

4. 发明授权

US09530079B2 Point spread function classification using structural properties 有权
标题翻译：点扩散函数分类使用结构性质
公开(公告)号：US09530079B2
公开(公告)日：2016-12-27
申请号：US14437953
申请日：2013-03-07
申请人： NIKON CORPORATION
发明人： Gazi Ali , Li Hong , Radka Tezaur , Mark Takita
IPC分类号： G06K9/00 , G06K9/62 , G06K9/40 , G06K9/52 , G06T5/00 , G06T7/20
CPC分类号： G06K9/626 , G06K9/40 , G06K9/52 , G06K9/525 , G06K9/6201 , G06K9/6256 , G06K9/6286 , G06T5/003 , G06T7/20 , G06T2207/20201
摘要： A method for classifying a test image (16) includes the steps of building a classifier (300), and classifying the test image (16) with the classifier (300). After the test image (16) is classified, the test image (16) can be subsequently processed (e.g. deblurred) with improved accuracy. The classifier (300) can classify and distinguish between PSF features associated with motion blurred images, and PSF features associate with defocus blurred images. The classifier (300) can be built using a plurality of training images (304), and extracting one or more training features from each the training images (304). The PSF features can include image moments of the point spread function, and/or geometric features of the point spread function.
摘要翻译：用于分类测试图像（16）的方法包括以下步骤：建立分类器（300），并且用分类器（300）对测试图像（16）进行分类。在测试图像（16）被分类之后，测试图像（16）可以随后以改进的精度进行处理（例如去毛刺）。分类器（300）可以对与运动模糊图像相关联的PSF特征进行分类和区分，并且PSF特征与散焦模糊图像相关联。分类器（300）可以使用多个训练图像（304）构建，并且从每个训练图像（304）提取一个或多个训练特征。 PSF特征可以包括点扩散函数的图像矩，和/或点扩散函数的几何特征。

5. 发明申请

US20150294186A1 POINT SPREAD FUNCTION CLASSIFICATION USING STRUCTURAL PROPERTIES 有权
标题翻译：使用结构特性的点扩展功能分类
公开(公告)号：US20150294186A1
公开(公告)日：2015-10-15
申请号：US14437953
申请日：2013-03-07
申请人： NIKON CORPORATION
发明人： Gazi Ali , Li Hong , Radka Tezaur , Mark Takita
IPC分类号： G06K9/62 , G06K9/52 , G06T7/20
CPC分类号： G06K9/626 , G06K9/40 , G06K9/52 , G06K9/525 , G06K9/6201 , G06K9/6256 , G06K9/6286 , G06T5/003 , G06T7/20 , G06T2207/20201
摘要： A method for classifying a test image (16) includes the steps of building a classifier (300), and classifying the test image (16) with the classifier (300). After the test image (16) is classified, the test image (16) can be subsequently processed (e.g. deblurred) with improved accuracy. The classifier (300) can classify and distinguish between PSF features associated with motion blurred images, and PSF features associate with defocus blurred images. The classifier (300) can be built using a plurality of training images (304), and extracting one or more training features from each the training images (304). The PSF features can include image moments of the point spread function, and/or geometric features of the point spread function.
摘要翻译：用于分类测试图像（16）的方法包括以下步骤：建立分类器（300），并且用分类器（300）对测试图像（16）进行分类。在测试图像（16）被分类之后，测试图像（16）可以随后以改进的精度进行处理（例如去毛刺）。分类器（300）可以对与运动模糊图像相关联的PSF特征进行分类和区分，并且PSF特征与散焦模糊图像相关联。分类器（300）可以使用多个训练图像（304）构建，并且从每个训练图像（304）提取一个或多个训练特征。 PSF特征可以包括点扩散函数的图像矩，和/或点扩散函数的几何特征。

6. 发明授权

US10339643B2 Algorithm and device for image processing 有权
公开(公告)号：US10339643B2
公开(公告)日：2019-07-02
申请号：US15694626
申请日：2017-09-01
申请人： Nikon Corporation
发明人： Radka Tezaur , Gazi Ali , Tetsuji Kamata , Li Hong
IPC分类号： G06K9/40 , G06T5/20 , G06T5/00
摘要： Deblurring a blurry image (14) includes the steps of (i) computing a spatial mask (256); (ii) computing a modified blurry image (264) using the blurry image (14) and the spatial mask (256); and (iii) computing a latent sharp image (16) using the modified blurry image (264) and a point spread function (260). Additionally, the image (714) can be analyzed to identify areas of the image (714) that are suitable for point spread function estimation. Moreover, a region point spread function (1630) can be analyzed to classify the point spread function(s) as representing (i) motion blur, (ii) defocus blur, or (iii) mixed motion blur and defocus blur. A point spread function (2670) can also be estimated.

7. 发明申请

US20160048952A1 ALGORITHM AND DEVICE FOR IMAGE PROCESSING 有权
标题翻译：用于图像处理的算法和设备
公开(公告)号：US20160048952A1
公开(公告)日：2016-02-18
申请号：US14826961
申请日：2015-08-14
申请人： NIKON CORPORATION
发明人： Radka Tezaur , Gazi Ali , Tetsuji Kamata
IPC分类号： G06T5/00 , G06T5/20
CPC分类号： G06T5/20 , G06T5/004 , G06T2207/10024 , G06T2207/20016
摘要： Deblurring a blurry image (14) includes the steps of (i) computing a spatial mask (256); (ii) computing a modified blurry image (264) using the blurry image (14) and the spatial mask (256); and (iii) computing a latent sharp image (16) using the modified blurry image (264) and a point spread function (260). Additionally, the image (714) to can be analyzed to identify areas of the image (714) that are suitable for point spread function estimation. Moreover, a region point spread function (1630) can be analyzed to classify the point spread function(s) as representing (i) motion blur, (ii) defocus blur, or (iii) mixed motion blur and defocus blur. A point spread function (2670) can also be estimated
摘要翻译：去除模糊图像（14）包括以下步骤：（i）计算空间掩模（256）; （ii）使用模糊图像（14）和空间掩模（256）计算修改的模糊图像（264）; 和（iii）使用修改的模糊图像（264）和点扩散函数（260）计算潜在清晰图像（16）。另外，可以分析图像（714）以识别适合于点扩散函数估计的图像区域（714）。此外，可以分析区域点扩散函数（1630）以将点扩散函数分类为表示（i）运动模糊，（ii）散焦模糊，或（iii）混合运动模糊和散焦模糊。也可以估计点扩散函数（2670）

8. 发明申请

US20150254814A1 GLOBALLY DOMINANT POINT SPREAD FUNCTION ESTIMATION 有权
标题翻译：全球主要点扩展功能估计
公开(公告)号：US20150254814A1
公开(公告)日：2015-09-10
申请号：US14437966
申请日：2013-03-07
申请人： Gazi ALI , Li HONG , Radka TEZAUR , Mark TAKITA , NIKON CORPORATION
发明人： Gazi Ali , Li Hong , Radka Tezaur , Mark Takita
IPC分类号： G06T5/00 , G06T7/00 , G06T11/00 , G06K9/40 , G06K9/52
CPC分类号： G06T5/003 , G06K9/40 , G06K9/527 , G06K2009/4666 , G06T5/002 , G06T5/006 , G06T11/003 , G06T2207/10004 , G06T2207/20012 , G06T2207/20021 , G06T2207/20104 , G06T2207/20182 , G06T2207/20201 , G06T2210/36
摘要： A group point spread function (238) for a blurry image (18) can be determined by dividing the blurry image (18) into a plurality of image regions (232), estimating a region point spread function (234) for at least two of the image regions (232); and utilizing at least two of the region point spread functions (234) to determine the group point spread function (238). The group point spread function (238) can be determined by the decomposition of the estimated region point spread functions (234) into some basis function, and subsequently determining a representative coefficient from the basis functions of the region point spread functions (234) to generate the group point spread function (238).
摘要翻译：可以通过将模糊图像（18）划分成多个图像区域（232）来确定用于模糊图像（18）的组点扩散函数（238），估计用于至少两个的区域点扩展函数（234）图像区域（232）; 以及利用所述区域点扩展函数（234）中的至少两个来确定所述群点扩散函数（238）。可以通过将估计的区域点扩散函数（234）分解成某些基函数来确定群点扩散函数（238），随后根据区域点扩展函数（234）的基函数确定代表系数，以产生组点扩散函数（238）。

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