Learning device, learning method, and learning program
    32.
    发明授权
    Learning device, learning method, and learning program 失效
    学习设备,学习方法和学习方案

    公开(公告)号:US07940993B2

    公开(公告)日:2011-05-10

    申请号:US11722141

    申请日:2005-12-21

    IPC分类号: G06K9/40 G06K9/00 H04N5/228

    CPC分类号: H04N5/21 H04N5/142 H04N5/144

    摘要: A motion-setting section (61) sets a motion amount and a motion direction for obtaining processing coefficients. A student-image-generating section (62) generates student images obtained by adding a motion blur to a teacher image not only based on the set motion amount and the set motion direction but also by changing at least one of the motion amount and motion direction in a specific ratio and student images obtained by adding no motion blur to the teacher image. A prediction-tap-extracting section (64) extracts, in order to extract a main term that mainly contains component of the target pixel, at least a pixel value of pixel in the student image whose space position roughly agrees with space position of the target pixel in the teacher image. A processing-coefficient-generating section (65) generates processing coefficients for predicting the target pixels in the teacher images from the pixel values of extracted pixels based on a relationship between the pixels thus extracted and the target pixels in the teacher images. The processing coefficients that are suitable for any motion blur removing which is robust against any shift of the motion vector can be generated through learning.

    摘要翻译: 运动设定部(61)设定用于获得处理系数的运动量和运动方向。 学生图像生成部(62)生成不仅基于设定的运动量和设定的运动方向而将运动模糊添加到教师图像而获得的学生图像,而且通过改变运动量和运动方向中的至少一个 以特定比例和学生图像通过添加没有运动模糊获得的教师图像。 预测抽头部(64)为了提取主要包含目标像素的成分的主项,提取学生图像中的空间位置大致与目标的空间位置一致的像素的像素值 像素在老师的形象。 处理系数生成部(65)基于所提取的像素与教师图像中的目标像素之间的关系,从提取的像素的像素值生成用于预测教师图像中的目标像素的处理系数。 可以通过学习来产生适用于对运动矢量的任何移动而鲁棒的任何运动模糊去除的处理系数。

    Image processing device, image processing method and program
    33.
    发明授权
    Image processing device, image processing method and program 有权
    图像处理装置,图像处理方法和程序

    公开(公告)号:US08933966B2

    公开(公告)日:2015-01-13

    申请号:US12879536

    申请日:2010-09-10

    IPC分类号: G09G5/00 G06T19/00 G06T7/00

    摘要: There is provided an image processing device, including: a data storage unit storing feature data indicating a feature of appearance of an object; an environment map generating unit for generating an environment map representing a position of one or more objects existing in a real space based on an input image obtained by imaging the real space using an imaging device and the feature data stored in the data storage unit; and an output image generating unit for generating an output image obtained by erasing an erasing target object from the input image based on a position of the erasing target object specified out of objects present in the input image represented in the environment map and a position of the imaging device.

    摘要翻译: 提供了一种图像处理装置,包括:数据存储单元,存储指示对象的外观特征的特征数据; 环境地图生成单元,用于基于通过使用成像装置对实际空间进行成像而获得的输入图像和存储在数据存储单元中的特征数据,生成表示存在于实际空间中的一个或多个对象的位置的环境地图; 以及输出图像生成单元,用于基于由在环境地图中表示的输入图像中存在的对象中指定的擦除目标对象的位置,生成通过从输入图像中擦除擦除目标对象而获得的输出图像, 成像装置。

    Image processing apparatus and coefficient learning apparatus
    34.
    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, method, storage medium, and program
    35.
    发明授权
    Image processing apparatus, method, storage medium, and program 失效
    图像处理装置,方法,存储介质和程序

    公开(公告)号:US08098944B2

    公开(公告)日:2012-01-17

    申请号:US11672283

    申请日:2007-02-07

    IPC分类号: G06K9/36

    摘要: A motion-vector detector determines the centroid of pixels on a reference frame that is identified with position information set in a database and associated with a feature address corresponding to a feature of a target pixel. The motion-vector detector detects, as a motion vector of the target pixel, a vector that has a starting point at a pixel on the reference frame which corresponds to the target pixel on a current frame and has an end point at the determined centroid. The present invention can be applied to an apparatus for generating a motion vector and allows prompt detection of a motion vector.

    摘要翻译: 运动矢量检测器确定由在数据库中设置的位置信息识别并与与目标像素的特征对应的特征地址相关联的参考帧上的像素的质心。 运动矢量检测器检测作为目标像素的运动矢量的矢量,该矢量具有与当前帧上的目标像素对应的参考帧上的像素的起始点,并具有以确定的质心的终点。 本发明可以应用于用于生成运动矢量的装置并且允许快速检测运动矢量。

    Image processing device, learning device, and coefficient generating device and method
    36.
    发明授权
    Image processing device, learning device, and coefficient generating device and method 失效
    图像处理装置,学习装置和系数产生装置及方法

    公开(公告)号:US07903890B2

    公开(公告)日:2011-03-08

    申请号:US11722450

    申请日:2005-12-21

    摘要: A target-pixel-setting section (31) sets a target pixel in a target image to be predicted. A motion-direction-detecting section (32) detects a motion direction corresponding to the target pixel. A pixel-value-extracting section (36) extracts from peripheral images corresponding to the target image, in order to extract a main term that mainly contains component of the target pixel in a moving object that encounters a motion blur in the peripheral images, at least pixel values of pixels in the peripheral images whose space position roughly agree with space position of the target pixel. A processing-coefficient-setting section (37a) sets a specific motion-blur-removing-processing coefficient. A pixel-value-generating section (38a) newly generates pixel values for processing from the pixel values extracted by the pixel-value-extracting section (36) corresponding to the motion direction and generates pixel values corresponding to the target pixel based on the pixel values for processing and the specific motion-blur-removing-processing coefficients. It is possible to perform a robust motion-blur-removing processing on any shifts of motion vector.

    摘要翻译: 目标像素设置部分(31)设置要预测的目标图像中的目标像素。 运动方向检测部(32)检测与目标像素对应的运动方向。 像素值提取部分(36)从与目标图像相对应的外围图像中提取,以便提取主要包含在外围图像中遇到运动模糊的移动物体中的目标像素的分量的主项, 其空间位置与目标像素的空间位置大致一致的周边图像中的像素的最小像素值。 处理系数设定部(37a)设定特定的运动模糊去除处理系数。 像素值生成部(38a)根据与运动方向对应的像素值提取部(36)提取的像素值新生成用于处理的像素值,并且基于像素生成与像素值对应的像素值 处理值和具体的运动模糊去除处理系数。 可以对运动矢量的任何移动执行鲁棒的运动模糊去除处理。

    IMAGE PROCESSING APPARATUS AND COEFFICIENT LEARNING APPARATUS
    37.
    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 DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND LEARNING DEVICE
    38.
    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。

    Coefficient learning apparatus and method, image processing apparatus and method, program, and recording medium
    40.
    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

    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。