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    Image processing apparatus and learning apparatus for converting a first image into a second image having higher image quality than the first image
    1.
    发明授权
    Image processing apparatus and learning apparatus for converting a first image into a second image having higher image quality than the first image 失效
    用于将第一图像转换成具有比第一图像更高的图像质量的第二图像的图像处理装置和学习装置

    公开(公告)号：US08363970B2

    公开(公告)日：2013-01-29

    申请号：US12326413

    申请日：2008-12-02

    申请人： Yasuhiro Suto ,  Tetsujiro Kondo ,  Hisakazu Shiraki ,  Takahiro Nagano ,  Noriaki Takahashi

    发明人： Yasuhiro Suto ,  Tetsujiro Kondo ,  Hisakazu Shiraki ,  Takahiro Nagano ,  Noriaki Takahashi

    IPC分类号： G06K9/40

    CPC分类号： G06T5/002 ,  H04N19/98

    摘要： An image processing apparatus for converting a first image into a second image having higher image quality than the first image. The image processing apparatus including first pixel value extracting means for extracting plural pixel values within the first image and estimate noise amount arithmetically operating means for obtaining estimate noise amounts for the plural pixel values. The image processing apparatus also including processing coefficient generating means for generating second processing coefficients in accordance with an arithmetic operation for first processing coefficients and the estimate noise amounts, second pixel value extracting means for extracting a plurality of pixel values, and predicting means for generating a pixel value of the pixel of interest.

    摘要翻译： 一种图像处理装置，用于将第一图像转换成具有比第一图像更高的图像质量的第二图像。 该图像处理装置包括：第一像素值提取装置，用于提取第一图像内的多个像素值，并估计用于获得多个像素值的估计噪声量的噪声量算术运算装置。 该图像处理装置还包括处理系数产生装置，用于根据第一处理系数和估计噪声量的算术运算产生第二处理系数，第二像素值提取装置，用于提取多个像素值;以及预测装置， 感兴趣像素的像素值。

    COEFFICIENT LEARNING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM
    2.
    发明申请
    COEFFICIENT LEARNING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM 失效
    系统学习装置和方法，图像处理装置和方法，程序和记录介质

    公开(公告)号：US20100080452A1

    公开(公告)日：2010-04-01

    申请号：US12568122

    申请日：2009-09-28

    申请人： Takahiro NAGANO ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    发明人： Takahiro NAGANO ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    IPC分类号： G06K9/62

    CPC分类号： H04N7/0125 ,  G06T3/40 ,  H04N7/0145

    摘要： A coefficient learning apparatus includes a regression coefficient calculation unit configured to obtain a tap from an image of a first signal; a regression prediction value calculation unit configured to perform a regression prediction computation; a discrimination information assigning unit configured to assign discrimination information to the pixel of interest; a discrimination coefficient calculation unit configured to obtain a tap from the image of the first signal; a discrimination prediction value calculation unit configured to perform a discrimination prediction computation; and a classification unit configured to classify each of the pixels of the image of the first signal into one of the first discrimination class and the second discrimination class. The regression coefficient calculation unit further calculates the regression coefficient using only the pixels classified as the first discrimination class and further calculates the regression coefficient using only the pixel classified as the second discrimination class.

    摘要翻译： 系数学习装置包括回归系数计算单元，被配置为从第一信号的图像获得抽头; 回归预测值计算单元，被配置为执行回归预测计算; 鉴别信息分配单元，被配置为向感兴趣的像素分配识别信息; 鉴别系数计算单元，被配置为从所述第一信号的图像获得抽头; 鉴别预测值计算单元，被配置为执行判别预测计算; 以及分类单元，被配置为将第一信号的图像的每个像素分类为第一辨别类别和第二辨别类别中的一个。 回归系数计算单元进一步使用仅被分类为第一鉴别类的像素来计算回归系数，并且仅使用分类为第二鉴别类的像素来计算回归系数。

    Image processing apparatus and coefficient learning apparatus
    4.
    发明授权
    Image processing apparatus and coefficient learning apparatus 失效
    图像处理装置和系数学习装置

    公开(公告)号：US08401340B2

    公开(公告)日：2013-03-19

    申请号：US12567146

    申请日：2009-09-25

    申请人： Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    发明人： Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    IPC分类号： G06K9/32 ,  H04B1/66 ,  H04N5/765

    CPC分类号： H04N7/0125 ,  G06T3/40 ,  H04N7/0145

    摘要： An image processing apparatus includes a storage unit in which regression coefficient data is stored for each class on the basis of a tap in which a linear feature amount corresponding to a pixel of interest of first image data and a non-linear feature amount determined from the image data are used as elements; a classification unit configured to classify each of linear feature amounts of a plurality of items of input data of the input first image into a predetermined class; a reading unit configured to read the regression coefficient data; and a data generation unit configured to generate data of a second image obtained by making the first image have higher quality by performing a product-sum computation process by using the regression coefficient data read from the reading unit and elements of the tap of each of the plurality of items of input data of the input first image.

    摘要翻译： 一种图像处理装置包括：存储单元，其中，基于与第一图像数据的感兴趣像素对应的线性特征量和从该第一图像数据确定的非线性特征量的线条特征量，对于每个类存储回归系数数据 图像数据用作元素; 分类单元，被配置为将输入的第一图像的多个输入数据项的线性特征量的每一个分类为预定类别; 读取单元，被配置为读取回归系数数据; 以及数据生成单元，被配置为通过使用从读取单元读取的回归系数数据和每个图像的抽头的元素进行乘积和计算处理，生成通过使第一图像具有更高质量而获得的第二图像的数据 输入第一图像的输入数据的多个项目。

    IMAGE PROCESSING APPARATUS AND COEFFICIENT LEARNING APPARATUS
    5.
    发明申请
    IMAGE PROCESSING APPARATUS AND COEFFICIENT LEARNING APPARATUS 失效
    图像处理设备和系统学习设备

    公开(公告)号：US20100080451A1

    公开(公告)日：2010-04-01

    申请号：US12567146

    申请日：2009-09-25

    申请人： Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    发明人： Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    IPC分类号： G06K9/62

    CPC分类号： H04N7/0125 ,  G06T3/40 ,  H04N7/0145

    摘要： An image processing apparatus includes a storage unit in which regression coefficient data is stored for each class on the basis of a tap in which a linear feature amount corresponding to a pixel of interest of first image data and a non-linear feature amount determined from the image data are used as elements; a classification unit configured to classify each of linear feature amounts of a plurality of items of input data of the input first image into a predetermined class; a reading unit configured to read the regression coefficient data; and a data generation unit configured to generate data of a second image obtained by making the first image have higher quality by performing a product-sum computation process by using the regression coefficient data read from the reading unit and elements of the tap of each of the plurality of items of input data of the input first image.

    摘要翻译： 一种图像处理装置包括：存储单元，其中，基于与第一图像数据的感兴趣像素对应的线性特征量和从该第一图像数据确定的非线性特征量的线条特征量，对于每个类存储回归系数数据 图像数据用作元素; 分类单元，被配置为将输入的第一图像的多个输入数据项的线性特征量的每一个分类为预定类别; 读取单元，被配置为读取回归系数数据; 以及数据生成单元，被配置为通过使用从读取单元读取的回归系数数据和每个图像的抽头的元素进行乘积和计算处理，生成通过使第一图像具有更高质量而获得的第二图像的数据 输入第一图像的输入数据的多个项目。

    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND LEARNING DEVICE
    6.
    发明申请
    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND LEARNING DEVICE 失效
    图像处理装置，图像处理方法，程序和学习装置

    公开(公告)号：US20090161976A1

    公开(公告)日：2009-06-25

    申请号：US12277591

    申请日：2008-11-25

    申请人： Hisakazu SHIRAKI ,  Tetsujiro Kondo ,  Kenji Takahashi ,  Tsutomu Watanabe ,  Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi

    发明人： Hisakazu SHIRAKI ,  Tetsujiro Kondo ,  Kenji Takahashi ,  Tsutomu Watanabe ,  Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi

    IPC分类号： G06K9/40 ,  G06F15/18

    CPC分类号： G06T5/003 ,  G06T2207/20012 ,  G06T2207/20081

    摘要： An image processing device for converting an input image into an output image whose blur is reduced more, the image processing device including: first image extracting section configured to extract a plurality of pixels composed of a pixel of the input image which pixel corresponds to a pixel of interest as a pixel to which to direct attention within the output image and predetermined pixels surrounding the pixel of the input image; first feature quantity calculating configured to calculate a first feature quantity from the plurality of pixels extracted by the first image extracting section; processing coefficient generating section; second pixel extracting section configured to extract a plurality of pixels composed of the pixel corresponding to the pixel of interest and predetermined pixels surrounding the pixel corresponding to the pixel of interest from the input image; and predicting section.

    摘要翻译： 一种图像处理装置，用于将输入图像转换为模糊减少的输出图像，所述图像处理装置包括：第一图像提取部，被配置为提取由像素对应于像素的输入图像的像素组成的多个像素 感兴趣的像素，用于引导输出图像内的注意和围绕输入图像的像素的预定像素; 第一特征量计算，被配置为从由所述第一图像提取部提取的所述多个像素中计算第一特征量; 处理系数生成部; 第二像素提取部分，被配置为从输入图像中提取由与感兴趣像素相对应的像素组成的多个像素和围绕与感兴趣像素对应的像素的预定像素; 和预测部分。

    Coefficient learning apparatus and method, image processing apparatus and method, program, and recording medium
    7.
    发明授权
    Coefficient learning apparatus and method, image processing apparatus and method, program, and recording medium 失效
    系数学习装置和方法，图像处理装置和方法，程序和记录介质

    公开(公告)号：US08433145B2

    公开(公告)日：2013-04-30

    申请号：US12568122

    申请日：2009-09-28

    申请人： Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    发明人： Takahiro Nagano ,  Yasuhiro Suto ,  Noriaki Takahashi ,  Tetsujiro Kondo

    IPC分类号： G06K9/62

    CPC分类号： H04N7/0125 ,  G06T3/40 ,  H04N7/0145

    摘要： A coefficient learning apparatus includes a regression coefficient calculation unit configured to obtain a tap from an image of a first signal; a regression prediction value calculation unit configured to perform a regression prediction computation; a discrimination information assigning unit configured to assign discrimination information to the pixel of interest; a discrimination coefficient calculation unit configured to obtain a tap from the image of the first signal; a discrimination prediction value calculation unit configured to perform a discrimination prediction computation; and a classification unit configured to classify each of the pixels of the image of the first signal into one of the first discrimination class and the second discrimination class. The regression coefficient calculation unit further calculates the regression coefficient using only the pixels classified as the first discrimination class and further calculates the regression coefficient using only the pixel classified as the second discrimination class.

    摘要翻译： 系数学习装置包括回归系数计算单元，被配置为从第一信号的图像获得抽头; 回归预测值计算单元，被配置为执行回归预测计算; 鉴别信息分配单元，被配置为向感兴趣的像素分配识别信息; 鉴别系数计算单元，被配置为从所述第一信号的图像获得抽头; 鉴别预测值计算单元，被配置为执行判别预测计算; 以及分类单元，被配置为将第一信号的图像的每个像素分类为第一辨别类别和第二辨别类别中的一个。 回归系数计算单元进一步使用仅被分类为第一鉴别类的像素来计算回归系数，并且仅使用分类为第二鉴别类的像素来计算回归系数。