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    • 21. 发明申请
    • IMAGE PROCESSING APPARATUS AND COEFFICIENT LEARNING APPARATUS
    • 图像处理设备和系统学习设备
    • US20100080451A1
    • 2010-04-01
    • US12567146
    • 2009-09-25
    • Takahiro NaganoYasuhiro SutoNoriaki TakahashiTetsujiro Kondo
    • Takahiro NaganoYasuhiro SutoNoriaki TakahashiTetsujiro Kondo
    • G06K9/62
    • H04N7/0125G06T3/40H04N7/0145
    • 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.
    • 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。
    • 26. 发明授权
    • Coefficient learning apparatus and method, image processing apparatus and method, program, and recording medium
    • 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
    • US08433145B2
    • 2013-04-30
    • US12568122
    • 2009-09-28
    • Takahiro NaganoYasuhiro SutoNoriaki TakahashiTetsujiro Kondo
    • Takahiro NaganoYasuhiro SutoNoriaki TakahashiTetsujiro Kondo
    • G06K9/62
    • H04N7/0125G06T3/40H04N7/0145
    • 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.
    • 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。