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    • 6. 发明申请
    • Method and apparatus for model based anisotropic diffusion
    • 用于基于模型的各向异性扩散的方法和装置
    • US20080007747A1
    • 2008-01-10
    • US11477942
    • 2006-06-30
    • Troy ChinenThomas Leung
    • Troy ChinenThomas Leung
    • G06F15/00
    • G06T5/002G06T5/20G06T7/13G06T2207/20012G06T2207/20081G06T2207/20192
    • Methods and apparatuses for image processing are presented. An exemplary method is provided which provides a model which includes information not found in the digital image, accessing digital image data and the model, and performing anisotropic diffusion on the digital image data utilizing the model. An apparatus for processing a digital image is presented which includes a processor operably coupled to memory storing digital image data, a model which includes information not found in the digital image data, and functional processing units for controlling image processing, where the functional processing units include a model generation module, and a model-based anisotropic diffusion module which performs anisotropic diffusion on the digital image data utilizing the information provided by the model.
    • 介绍了图像处理方法和装置。 提供了一种示例性方法,其提供包括在数字图像中未找到的信息,访问数字图像数据和模型以及使用该模型对数字图像数据执行各向异性扩散的模型。 提供了一种处理数字图像的装置,其包括可操作地耦合到存储数字图像数据的存储器的处理器,包括在数字图像数据中未找到的信息的模型以及用于控制图像处理的功能处理单元,其中功能处理单元包括 模型生成模块和基于模型的各向异性扩散模块,其利用由模型提供的信息对数字图像数据进行各向异性扩散。
    • 7. 发明申请
    • Method and apparatus for diffusion based illumination normalization
    • 用于基于扩散的照明归一化的方法和装置
    • US20080002908A1
    • 2008-01-03
    • US11477907
    • 2006-06-30
    • Troy ChinenThomas Leung
    • Troy ChinenThomas Leung
    • G06K9/40
    • G06T5/002G06T5/20G06T7/13G06T2207/20012G06T2207/20081G06T2207/20192
    • An exemplary illumination normalization method is provided which includes receiving an input image having at least one spurious edge directly resulting from illumination, performing anisotropic diffusion on the input image to form a diffusion image, and removing at the least one spurious edge using the diffusion image. Another embodiment consistent with the invention is an apparatus for performing illumination normalization in an image which includes a processor operably coupled to a memory storing input image data which contains an object of interest having at least one spurious edge directly resulting from illumination, a model of a representative object of interest, and functional processing units for controlling image processing, wherein the functional processing units further include a model based anisotropic diffusion module which predicts edge information regarding the object of interest based upon the model, and produces a reflectance estimation utilizing the predicted edge information.
    • 提供了一种示例性的照明归一化方法,其包括接收具有直接由照明产生的至少一个伪边的输入图像,在输入图像上执行各向异性扩散以形成漫射图像,以及使用扩散图像在至少一个假边缘处去除。 与本发明相一致的另一实施例是用于在图像中执行照明归一化的装置,其包括可操作地耦合到存储输入图像数据的存储器的处理器,所述存储器包含感兴趣的对象,其具有直接由照明产生的至少一个伪边, 以及用于控制图像处理的功能处理单元,其中所述功能处理单元还包括基于模型的各向异性扩散模块,其基于所述模型预测关于所述对象的边缘信息,并且使用所述预测边缘产生反射率估计 信息。
    • 8. 发明授权
    • Method and apparatus for diffusion based image relighting
    • 用于基于扩散的图像重新点亮的方法和装置
    • US07295716B1
    • 2007-11-13
    • US11477941
    • 2006-06-30
    • Troy ChinenThomas Leung
    • Troy ChinenThomas Leung
    • G06K9/40
    • H04N1/6088G06T5/009H04N1/6086
    • A method for image relighting is presented which receives an input image having at least one spurious edge directly resulting from a first illumination present when the input image was acquired, performs anisotropic diffusion on the input image to form a diffusion image, removes the first illumination using the diffusion image to generate a reflectance image and applies a second illumination to the reflectance image. An apparatus for relighting is presented which includes a processor operably coupled to memory storing input image having a first illumination present when the input image was acquired, and functional processing including an anisotropic diffusion module to perform anisotropic diffusion on the input image to form a diffusion image, a combination module which removes the first illumination using the diffusion image to generate a reflectance image, a second illumination module which generates a second illumination, and a lighting application model which applies the second illumination.
    • 提供了一种用于图像重新照明的方法,其接收具有至少一个伪边缘的输入图像,所述输入图像直接由获取输入图像时存在的第一照明产生,在输入图像上执行各向异性扩散以形成漫射图像,使用 扩散图像以产生反射率图像并将第二照明应用于反射图像。 本发明提供了一种用于重新照明的装置,其包括处理器,其可操作地耦合到存储输入图像的存储器,该输入图像具有当获取输入图像时存在的第一照明,以及包括各向异性扩散模块的功能处理,以对输入图像执行各向异性扩散以形成扩散图像 使用扩散图像去除第一照明以产生反射图像的组合模块,产生第二照明的第二照明模块和应用第二照明的照明应用模型。
    • 9. 发明授权
    • Method and apparatus for diffusion based illumination normalization
    • 用于基于扩散的照明归一化的方法和装置
    • US07747045B2
    • 2010-06-29
    • US11477907
    • 2006-06-30
    • Troy ChinenThomas Leung
    • Troy ChinenThomas Leung
    • G06K9/00
    • G06T5/002G06T5/20G06T7/13G06T2207/20012G06T2207/20081G06T2207/20192
    • An exemplary illumination normalization method is provided which includes receiving an input image having at least one spurious edge directly resulting from illumination, performing anisotropic diffusion on the input image to form a diffusion image, and removing at the least one spurious edge using the diffusion image. Another embodiment consistent with the invention is an apparatus for performing illumination normalization in an image which includes a processor operably coupled to a memory storing input image data which contains an object of interest having at least one spurious edge directly resulting from illumination, a model of a representative object of interest, and functional processing units for controlling image processing, wherein the functional processing units further include a model based anisotropic diffusion module which predicts edge information regarding the object of interest based upon the model, and produces a reflectance estimation utilizing the predicted edge information.
    • 提供了一种示例性的照明归一化方法,其包括接收具有直接由照明产生的至少一个伪边的输入图像,在输入图像上执行各向异性扩散以形成漫射图像,以及使用扩散图像在至少一个假边缘处去除。 与本发明相一致的另一实施例是用于在图像中执行照明归一化的装置,其包括可操作地耦合到存储输入图像数据的存储器的处理器,所述存储器包含感兴趣的对象,其具有直接由照明产生的至少一个伪边, 以及用于控制图像处理的功能处理单元,其中所述功能处理单元还包括基于模型的各向异性扩散模块,其基于所述模型预测关于所述对象的边缘信息,并且使用所述预测边缘产生反射率估计 信息。