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公开(公告)号：US20160070979A1
公开(公告)日：2016-03-10
申请号：US14843147
申请日：2015-09-02
Applicant: Huawei Technologies Co., Ltd.
Inventor： Li Xu , Jiaya Jia , Kwok Wai Hung
Abstract: A method for generating a sharp image based on a blurry image is provided. The method includes acquiring pixel values of pixels in the blurry image, and a convolution kernel of the blurry image, determining a deconvolution kernel of the blurry image based on a preset image gradient operator and the convolution kernel, determining pixel values of pixels in the sharp image based on the deconvolution kernel and the pixel values of the pixels in the blurry image, and generating the sharp image based on the pixel values of the pixels in the sharp image. A deconvolution kernel in the embodiments of the present disclosure is determined based on a gradient operator and a convolution kernel, in other words, the deconvolution kernel introduces the gradient operator as a regularization constraint, which prevents noise from affecting an image recovery process, and improves the quality of a recovered sharp image.
Abstract translation: 提供了一种基于模糊图像生成清晰图像的方法。 该方法包括获取模糊图像中的像素的像素值和模糊图像的卷积核，基于预设图像梯度算子和卷积核确定模糊图像的去卷积核，确定锐利像素中像素的像素值 基于去卷积内核的图像和模糊图像中的像素的像素值，并且基于锐利图像中的像素的像素值生成清晰图像。 本公开的实施例中的解卷积内核基于梯度算子和卷积核来确定，换句话说，反卷积内核将梯度算子作为规则化约束引入，防止噪声影响图像恢复过程，并改善 质量恢复清晰的图像。
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公开(公告)号：US09665792B2
公开(公告)日：2017-05-30
申请号：US14843147
申请日：2015-09-02
Applicant: Huawei Technologies Co., Ltd.
Inventor： Li Xu , Jiaya Jia , Kwok Wai Hung
Abstract: A method for generating a sharp image based on a blurry image is provided. The method includes acquiring pixel values of pixels in the blurry image, and a convolution kernel of the blurry image, determining a deconvolution kernel of the blurry image based on a preset image gradient operator and the convolution kernel, determining pixel values of pixels in the sharp image based on the deconvolution kernel and the pixel values of the pixels in the blurry image, and generating the sharp image based on the pixel values of the pixels in the sharp image. A deconvolution kernel in the embodiments of the present disclosure is determined based on a gradient operator and a convolution kernel, in other words, the deconvolution kernel introduces the gradient operator as a regularization constraint, which prevents noise from affecting an image recovery process, and improves the quality of a recovered sharp image.
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公开(公告)号：US10127679B2
公开(公告)日：2018-11-13
申请号：US15448799
申请日：2017-03-03
Applicant: Huawei Technologies Co., Ltd.
Inventor： Xiaoyong Shen , Jiaya Jia , Kwok Wai Hung
Abstract: An image alignment method and apparatus, where the method and apparatus include obtaining image information of two to-be-aligned images, determining, using a cross-correlation measurement model, first coordinate offset according to the image information of the two images, where the first coordinate offset are used to indicate position deviations of to-be-aligned pixels between the two images in the coordinate system, and aligning the two images according to coordinates of pixels in the first image in the coordinate system and the first coordinate offset.
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公开(公告)号：US20170178348A1
公开(公告)日：2017-06-22
申请号：US15448799
申请日：2017-03-03
Applicant: Huawei Technologies Co., Ltd.
Inventor： Xiaoyong Shen , Jiaya Jia , Kwok Wai Hung
CPC classification number: G06T7/32 , G06T3/0075 , G06T5/50 , G06T7/13 , G06T7/44 , G06T2207/10036
Abstract: An image alignment method and apparatus, where the method and apparatus include obtaining image information of two to-be-aligned images, determining, using a cross-correlation measurement model, first coordinate offset according to the image information of the two images, where the first coordinate offset are used to indicate position deviations of to-be-aligned pixels between the two images in the coordinate system, and aligning the two images according to coordinates of pixels in the first image in the coordinate system and the first coordinate offset.
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