IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND LEARNING DEVICE
    1.
    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

    IPC分类号: G06K9/40 G06F15/18

    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。

    Image processing for reducing blur
    3.
    发明授权
    Image processing for reducing blur 失效
    用于减少模糊的图像处理

    公开(公告)号:US08346003B2

    公开(公告)日:2013-01-01

    申请号:US12277591

    申请日:2008-11-25

    IPC分类号: G06K9/40 G06K9/62

    摘要: An image processing device for converting an input image into an output image whose blur is reduced. The image processing device includes a first image extracting section that extracts a plurality of pixels composed of a pixel of the input image corresponding to a pixel of interest in the output image and predetermined pixels surrounding the pixel of the input image. A first feature quantity calculating section calculates a first feature quantity from the plurality of pixels extracted by the first image extracting section. A second pixel extracting section extracts a plurality of pixels composed of the pixel of interest and predetermined pixels surrounding the pixel of interest from the input image. A predicting section then generates a pixel value of the pixel of interest.

    摘要翻译: 一种用于将输入图像转换为模糊减小的输出图像的图像处理装置。 图像处理装置包括第一图像提取部,其提取由输出图像中的感兴趣像素对应的输入图像的像素构成的多个像素,以及围绕输入图像的像素的预定像素。 第一特征量计算部分从由第一图像提取部分提取的多个像素中计算第一特征量。 第二像素提取部分从输入图像中提取由关注像素组成的多个像素和围绕感兴趣像素的预定像素。 然后,预测部分生成感兴趣像素的像素值。

    Image processing apparatus, image processing method, program and learning apparatus
    4.
    发明授权
    Image processing apparatus, image processing method, program and learning apparatus 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:US08331713B2

    公开(公告)日:2012-12-11

    申请号:US12331815

    申请日:2008-12-10

    CPC分类号: G06T5/003 G06T2207/20081

    摘要: An image processing apparatus includes: a blur removing processing section configured to carry out a blur removing process for an input image using a plurality of blur removal coefficients for removing blur of a plurality of different blur amounts to produce a plurality of different blur removal result images; a feature detection section configured to detect a feature from each of the different blur removal result images; a blur amount class determination section configured to determine blur amount classes representative of classes of the blur amounts from the features; and a prediction processing section configured to carry out mathematic operation of pixel values of predetermined pixels of the input image and prediction coefficients learned in advance and corresponding to the blur amount classes to produce an output image from which the blur is removed.

    摘要翻译: 一种图像处理装置,包括:模糊消除处理部,被配置为使用多个模糊去除系数对输入图像执行模糊消除处理,以去除多个不同模糊量的模糊,以产生多个不同的模糊去除结果图像 ; 特征检测部,被配置为从所述不同的模糊去除结果图像中的每一个检测特征; 模糊量等级确定部,被配置为确定表示来自所述特征的所述模糊量的类别的模糊量等级; 以及预测处理部,被配置为执行与所述模糊量等级相对应的所述输入图像的预定像素的像素值和预先知道的预测系数的数学运算,以产生去除了模糊的输出图像。

    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM AND LEARNING APPARATUS
    5.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM AND LEARNING APPARATUS 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:US20090161977A1

    公开(公告)日:2009-06-25

    申请号:US12331815

    申请日:2008-12-10

    IPC分类号: G06K9/03

    CPC分类号: G06T5/003 G06T2207/20081

    摘要: An image processing apparatus includes: a blur removing processing section configured to carry out a blur removing process for an input image using a plurality of blur removal coefficients for removing blur of a plurality of different blur amounts to produce a plurality of different blur removal result images; a feature detection section configured to detect a feature from each of the different blur removal result images; a blur amount class determination section configured to determine blur amount classes representative of classes of the blur amounts from the features; and a prediction processing section configured to carry out mathematic operation of pixel values of predetermined pixels of the input image and prediction coefficients learned in advance and corresponding to the blur amount classes to produce an output image from which the blur is removed.

    摘要翻译: 一种图像处理装置包括:模糊消除处理部,被配置为使用多个模糊去除系数对输入图像执行模糊去除处理,以去除多个不同模糊量的模糊,以产生多个不同的模糊去除结果图像 ; 特征检测部,被配置为从所述不同的模糊去除结果图像中的每一个检测特征; 模糊量等级确定部,被配置为确定表示来自所述特征的所述模糊量的类别的模糊量等级; 以及预测处理部,被配置为执行与所述模糊量等级相对应的所述输入图像的预定像素的像素值和预先知道的预测系数的数学运算,以产生去除了模糊的输出图像。

    Image processing apparatus and learning apparatus for converting a first image into a second image having higher image quality than the first image
    6.
    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

    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
    10.
    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

    IPC分类号: G06K9/62

    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。