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    • 61. 发明申请
    • IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD
    • 图像处理装置和图像处理方法
    • US20100061652A1
    • 2010-03-11
    • US12404578
    • 2009-03-16
    • Hidenori TAKESHIMAToshimitsu KanekoNao Mishima
    • Hidenori TAKESHIMAToshimitsu KanekoNao Mishima
    • G06K9/40
    • G06T5/002G06T2207/20021
    • An image processing device includes: an estimating module configured to estimate boundaries of blocks in an input image; a characteristic value calculating module configured to calculate a characteristic value of a subject pixel group having constituent pixels including a pixel in the frame and at least one pixel that is adjacent to the pixel by calculating a degree of pixel value dispersion between the constituent pixels of the subject pixel group if all the constituent pixels belong to the same block; an strength value calculating module configured to calculate, from the characteristic value, a strength value to be used in performing pixel value smoothing; and a smoothing module configured to perform the pixel value smoothing according to the strength value.
    • 图像处理装置包括:估计模块,被配置为估计输入图像中的块的边界; 特征量计算模块,被配置为通过计算包含所述帧中的像素的组成像素和与所述像素相邻的至少一个像素来计算具有所述像素的组成像素的特征值的特征值, 如果所有组成像素属于同一块,则对象像素组; 强度值计算模块,被配置为从所述特征值计算要在执行像素值平滑中使用的强度值; 以及平滑模块,被配置为根据强度值执行像素值平滑化。
    • 62. 发明申请
    • IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT
    • 图像处理设备,图像处理方法和计算机程序产品
    • US20100054606A1
    • 2010-03-04
    • US12544356
    • 2009-08-20
    • Nao MishimaKenzo IsogawaRyusuke HiraiGoh Itoh
    • Nao MishimaKenzo IsogawaRyusuke HiraiGoh Itoh
    • G06K9/32
    • G06T7/13
    • An image processing apparatus includes an operating unit that calculates a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit that converts local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit that performs, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved-plane model expressed with the pixel value of the target pixel in the input image.
    • 图像处理装置包括:操作单元,其通过使用垂直方向导数值和像素的像素值的水平方向导数值来计算边缘的切线方向和边缘的法线方向 输入图像; 转换单元,通过根据由边缘的水平方向和切线方向形成的角度旋转局部坐标,将位于输入图像中的目标像素的预定区域内的局部坐标转换为旋转坐标; 以及拟合单元,其通过使用由输入图像中的目标像素的像素值表示的曲面模型,以旋转的坐标进行采用最小二乘法的拟合处理。
    • 63. 发明申请
    • IMAGE PROCESSING APPARATUS, METHOD, AND COMPUTER PROGRAM PRODUCT
    • 图像处理设备,方法和计算机程序产品
    • US20090079836A1
    • 2009-03-26
    • US12235108
    • 2008-09-22
    • Nao MishimaYasutoyo TakeyamaMasahiro BabaGoh Itoh
    • Nao MishimaYasutoyo TakeyamaMasahiro BabaGoh Itoh
    • G06K9/32H04N5/228
    • H04N5/262G06T3/4007G06T5/004G06T7/231G06T2207/10016G06T2207/20201H04N5/23254H04N5/772H04N5/781H04N5/85
    • An image processing apparatus includes a correction-amount calculating unit that calculates a motion-blur correction amount, which takes a larger value as the reproduction speed becomes lower, based on an input reproduction speed; a motion-blur correcting unit that performs scale transformation on a motion vector based on the motion-blur correction amount, acquires low frequency components of a source image and a destination image using an anisotropic Gaussian filter determined by a direction and a size of the motion vector subjected to the scale transformation, and performs edge enhancement on the source image and the destination image based on the low frequency components and high frequency components of the source image and the destination image; and an interpolation-image creating unit that creates the interpolation image using the source image for which the motion blur is corrected, the destination image for which the motion blur is corrected, and the motion vector.
    • 一种图像处理装置,包括校正量计算单元,其基于输入的再现速度来计算随着再现速度变低的变化而获得较大值的运动模糊校正量; 使用基于运动模糊校正量对运动矢量执行缩放变换的运动模糊校正单元,使用由运动的方向和尺寸确定的各向异性高斯滤波器来获取源图像和目的地图像的低频分量 进行缩放变换的矢量,并且基于源图像和目的图像的低频分量和高频分量对源图像和目的图像执行边缘增强; 以及内插图像生成单元,其使用校正了运动模糊的源图像,校正运动模糊的目的地图像和运动矢量来生成插值图像。
    • 64. 发明申请
    • FRAME INTERPOLATION APPARATUS AND METHOD
    • 框架插值装置和方法
    • US20080240241A1
    • 2008-10-02
    • US12056085
    • 2008-03-26
    • Nao MishimaYasutoyo TakeyamaGoh Itoh
    • Nao MishimaYasutoyo TakeyamaGoh Itoh
    • H04N7/48
    • H04N7/014G06T3/4007H04N7/0127
    • A first motion vector points from a source region of a source picture to a destination region of a destination picture. A second motion vector is scaled from the first motion vector based on a first temporal distance between the source picture and the interpolation picture. A third motion vector is scaled from the first motion vector based on a second temporal distance between the destination picture and the interpolation picture. A weight of a first interpolation region of the interpolation picture is calculated using distortion energy of the source region. A first motion compensation picture compensated from the source region to a temporal position of the interpolation picture using the second motion vector, and a second motion compensation picture compensated from the destination region to the temporal position using the third motion vector are calculated. A third motion compensation picture is calculated by weighted-averaging the first motion compensation picture and the second motion compensation picture. A second interpolation region of the interpolation picture is calculated by averaging a region of the third motion compensation picture and a region of an artifact prevention picture with the weight.
    • 第一运动矢量从源图像的源区域指向目的图像的目的地区域。 基于源图像和插值图像之间的第一时间距离,从第一运动矢量对第二运动矢量进行缩放。 基于目的地图像和内插图像之间的第二时间距离,从第一运动矢量对第三运动矢量进行缩放。 使用源区域的失真能量来计算内插图像的第一内插区域的权重。 计算使用第二运动矢量从源区域补偿到内插图像的时间位置的第一运动补偿图像,以及使用第三运动矢量从目的地区域补偿到时间位置的第二运动补偿图像。 通过对第一运动补偿图像和第二运动补偿图像进行加权平均来计算第三运动补偿图像。 通过对第三运动补偿图像的区域和具有权重的伪像防止图像的区域进行平均来计算内插图像的第二内插区域。
    • 65. 发明申请
    • MOTION ESTIMATION APPARATUS AND METHOD
    • 运动估计装置和方法
    • US20080226193A1
    • 2008-09-18
    • US12048887
    • 2008-03-14
    • Nao MishimaGoh Itoh
    • Nao MishimaGoh Itoh
    • G06K9/64
    • G06T7/238
    • An estimation unit calculates an estimated motion vector between a first source region of a plurality of source regions and a first destination region on a destination picture. The first destination region has the highest correlation with the first source region. A weight calculation unit searches a plurality of second destination regions. Each second destination region is pointed by the estimated motion vector of another source region adjacent to the first source region. The weight calculation unit extracts pixel values of each second destination region, calculates a difference of pixel values between the first source region and each second destination region, and calculates a weight based on the difference. The weight is smaller if the difference is larger. A filtering unit calculates a motion vector of the first source region by averaging the estimated motion vectors with the weight.
    • 估计单元计算多个源区域的第一源区域和目的地图像上的第一目的地区域之间的估计运动矢量。 第一目的地区域与第一源区域的相关性最高。 权重计算单元搜索多个第二目的地区域。 每个第二目的地区域由与第一源区域相邻的另一源区域的估计的运动矢量指向。 权重计算单元提取每个第二目的地区域的像素值,计算第一源区域和每个第二目的地区域之间的像素值的差异,并且基于该差异来计算权重。 如果差值较大,重量较小。 滤波单元通过对具有权重的估计运动矢量进行平均来计算第一源区域的运动矢量。
    • 66. 发明授权
    • Method of generating an interpolation image, an interpolation image generating apparatus, and an image display system using the same
    • 内插图像的生成方法,内插图像生成装置以及使用该插值图像生成装置的图像显示系统
    • US07412114B2
    • 2008-08-12
    • US10806180
    • 2004-03-23
    • Goh ItohNao Mishima
    • Goh ItohNao Mishima
    • G06T5/50
    • H04N7/014H04N5/145H04N7/0132
    • A method of generating an interpolation image includes dividing a first image into first blocks, searching the second image for a second block having a strong correlation, deriving a first motion vector between the first and second blocks, extracting from the first block a first sub block including pixels that an absolute difference value is less than a threshold and a second sub block including pixels that it is not less than the threshold, searching a region on the second image for a third sub block having a strong correlation with respect to the second sub block, deriving a second motion vector between the second and third sub blocks, and copying the first and second sub blocks onto a third image between the first and second frames, using the first and second motion vectors.
    • 一种生成插值图像的方法包括:将第一图像划分成第一块,搜索第二图像以获得具有强相关性的第二块,导出第一和第二块之间的第一运动矢量,从第一块提取第一子块 包括绝对差值小于阈值的像素和包括不小于阈值的像素的第二子块,搜索第二图像上的与第二子图具有强相关性的第三子块的区域 块,导出第二和第三子块之间的第二运动矢量,以及使用第一和第二运动矢量将第一和第二子块复制到第一和第二帧之间的第三图像上。
    • 67. 发明授权
    • Motion vector detection method and apparatus
    • 运动矢量检测方法及装置
    • US07349475B2
    • 2008-03-25
    • US10383631
    • 2003-03-10
    • Goh ItohNao MishimaHaruhiko Okumura
    • Goh ItohNao MishimaHaruhiko Okumura
    • H04B1/66H04N7/12H04N11/02
    • H04N5/145H04N19/51H04N19/521H04N19/533H04N19/573H04N19/577
    • A motion vector detection method includes extracting a first block from the m-th picture, extracting second blocks having a large correlation with respect to the first block from a (m+n)-th picture ((m+n)>m-th), detecting first motion vectors between the first and second blocks, extracting a third block located in spatially the same position as that of the first block from a (m+i)-th picture ((m+n)>(m+i)>m-th), computing second motion vectors of (n−1)/n times the first motion vectors, extracting a fourth block corresponding to a movement position of the third block from the (m+n)-th picture according to the second motion vector, and selecting an optimum motion vector maximizing a correlation between the third and fourth blocks from the first motion vectors.
    • 运动矢量检测方法包括从第m图像中提取第一块,从第(m + n)个图像((m + n)> m-th)提取相对于第一块具有较大相关性的第二块 ),检测第一和第二块之间的第一运动矢量,从第(m + i)个图像((m + n)>(m + i)>(m + i))中提取位于空间上与第一块相同位置的第三块 )m),计算第一运动矢量的第(n-1)/ n倍的第二运动矢量,根据第(m + n)个图像提取与第三块的移动位置相对应的第四块 第二运动矢量,并且从第一运动矢量中选择最大化第三和第四块之间的相关性的最佳运动矢量。
    • 68. 发明授权
    • Interpolation image generating method and apparatus
    • 插值图像生成方法和装置
    • US07343044B2
    • 2008-03-11
    • US11032167
    • 2005-01-11
    • Masahiro BabaNao Mishima
    • Masahiro BabaNao Mishima
    • G06K9/36G06K9/32G06K9/46
    • H04N7/014G06T3/4007G06T7/20
    • An interpolation image generating method includes dividing each of the first reference image and the second reference image into reference regions each including pixels, executing a correlation operation between the first reference image and first destination images located before and after the first reference image and a correlation operation between the second reference image and a second destination image to derive motion vectors for the first and second destination images every reference region, obtaining correlation values between the regions of the first and second destination images that are indicated by the motion vectors and the reference region to determine the reference region as a high or low correlation region, generating an interpolation image candidate between the first reference and second images using the reference region determined as the high correlation region, and mixing the interpolation image candidates using the motion vectors of the reference region to produce an interpolation image.
    • 插值图像生成方法包括将第一参考图像和第二参考图像中的每一个分成包括像素的参考区域,执行第一参考图像和位于第一参考图像之前和之后的第一目的地图像之间的相关运算,以及相关运算 在第二参考图像和第二目的地图像之间,以导出每个参考区域的第一和第二目的地图像的运动矢量,获得由运动矢量和参考区域指示的第一和第二目的地图像的区域之间的相关值, 将所述参考区域确定为高相关区域或低相关区域,使用被确定为所述高相关区域的所述参考区域,在所述第一参考图像和所述第二图像之间生成内插图像候选,以及使用所述参考区域的运动矢量将所述内插图像候选 生产 内插图像。
    • 70. 发明申请
    • MOTION VECTOR DETECTION METHOD AND APPARATUS
    • 运动矢量检测方法和装置
    • US20070165719A1
    • 2007-07-19
    • US11686424
    • 2007-03-15
    • Goh ItohNao MishimaHaruhiko Okumura
    • Goh ItohNao MishimaHaruhiko Okumura
    • H04N11/02H04N11/04
    • H04N5/145H04N19/51H04N19/521H04N19/533H04N19/573H04N19/577
    • A motion vector detection method includes extracting a first block from the m-th picture, extracting second blocks having a large correlation with respect to the first block from a (m+n)-th picture ((m+n) >m-th), detecting first motion vectors between the first and second blocks, extracting a third block located in spatially the same position as that of the first block from a (m+i)-th picture ((m+n) >(m+i) >m-th), computing second motion vectors of (n−l)/n times the first motion vectors, extracting a fourth block corresponding to a movement position of the third block from the (m+n)-th picture according to the second motion vector, and selecting an optimum motion vector maximizing a correlation between the third and fourth blocks from the first motion vectors.
    • 运动矢量检测方法包括从第m图像中提取第一块,从第(m + n)个图像((m + n)> m-th)提取相对于第一块具有较大相关性的第二块 ),检测第一和第二块之间的第一运动矢量,从第(m + i)个图像((m + n)>(m + i)>(m + i))中提取位于空间上与第一块相同位置的第三块 )> m次),计算第一运动矢量的(nl)/ n倍的第二运动矢量,根据第二运动矢量从第(m + n)个图像提取与第三块的移动位置相对应的第四块 运动矢量,并且从第一运动矢量中选择最大化第三和第四块之间的相关性的最佳运动矢量。