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
    2.
    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
    3.
    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
    4.
    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
    7.
    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。

    Learning device, learning method, and learning program
    10.
    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。