IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND LEARNING DEVICE
    3.
    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
    5.
    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
    6.
    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
    7.
    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 coefficient learning apparatus
    8.
    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

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

    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
    9.
    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

    IPC分类号: G06K9/62

    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 learning apparatus for converting a first image into a second image having higher image quality than the first image
    10.
    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。