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    • 6. 发明授权
    • Video signal encoding method and system
    • 视频信号编码方法和系统
    • US06480670B1
    • 2002-11-12
    • US09449494
    • 1999-11-29
    • Yoshiko HatanoTadashi KasezawaKoji OkazakiTakashi ShinoharaHiromu HasegawaHidetoshi Mishima
    • Yoshiko HatanoTadashi KasezawaKoji OkazakiTakashi ShinoharaHiromu HasegawaHidetoshi Mishima
    • H04N736
    • H04N19/105H04N5/145H04N19/107H04N19/112H04N19/137H04N19/142H04N19/179H04N19/51H04N19/57H04N19/577H04N19/87
    • In an image signal encoding method for encoding an image signal using motion compensation, a motion vector is found by means of a block matching method, a first distortion SEmc of motion compensated prediction associated with the motion vector, and a second distortion SEnomc of prediction without motion compensation are detected, the motion vector is used for for inter-picture prediction encoding when SEnomc>SEmc+K, with K being a constant greater than 0, and a vector having a value zero is used, in place of the motion vector, for inter-picture prediction encoding when SEnomc≦SEmc+K. In another aspect, a speed of motion in a sequence of pictures is detected, and for a part of the sequence of pictures detected to contain a quick motion, the prediction encoding is performed using one-way prediction encoding, and for a part of the sequence of pictures without a quick motion, prediction encoding is performed using bi-directional prediction encoding. In another aspect, the image signal is subsampled for each field, and a motion vector is determined using the field-subsampled image signal.
    • 在用于使用运动补偿对图像信号进行编码的图像信号编码方法中,通过块匹配方法,与运动矢量相关联的运动补偿预测的第一失真SEmc以及无运动补偿预测的第二失真SEnomc,找到运动矢量 检测到运动补偿时,运动矢量用于SEnomc> SEmc + K时的画面间预测编码,其中K为大于0的常数,使用零值的矢量代替运动矢量, 用于当SEnomc <= SEmc + K时的画面间预测编码。 在另一方面,检测图像序列中的运动速度,并且对于被检测为包含快速运动的图像序列的一部分,使用单向预测编码执行预测编码,并且对于一部分 没有快速运动的图像序列,使用双向预测编码执行预测编码。 在另一方面,对于每个场对图像信号进行二次采样,并且使用场二次采样的图像信号来确定运动矢量。
    • 9. 发明授权
    • Image correction device and image correction method
    • 图像校正装置和图像校正方法
    • US07796159B2
    • 2010-09-14
    • US11664459
    • 2006-04-06
    • Toshiyuki ShimizuYoshiki OnoNaoyuki FujiyamaShuji SotodaYoshiko Hatano
    • Toshiyuki ShimizuYoshiki OnoNaoyuki FujiyamaShuji SotodaYoshiko Hatano
    • H04N5/228G06K9/40
    • G06T5/20H04N5/23212H04N5/23248H04N5/23254H04N5/23264
    • An image correction method can perform adaptive correction processing to a taken image by a simple construction in a short time, and includes the steps of: computing window region local difference values for a plurality of neighboring pixels, each of the window region local difference values being a difference value between image data of a notice pixel (33a) in a difference value determination region (32) formed of a whole or a part of a screen area of an input image (31) and image data of a neighboring pixel in a window region (33) set around the notice pixel (33a), thereby determining a maximum local difference value which is a maximum value of the window region local difference values in each window region; determining a threshold value reflecting a characteristic of the input image on the basis of the maximum local difference value; producing adaptive filter coefficients for respective pixels of the input image by using the threshold value; and performing filter processing of the input image by using the adaptive filter coefficients.
    • 图像校正方法可以通过简单的结构在短时间内对拍摄图像执行自适应校正处理,并且包括以下步骤:计算多个相邻像素的窗口区域局部差值,每个窗口区域局部差值为 在由输入图像(31)的整个或一部分屏幕区域形成的差值确定区域(32)中的通知像素(33a)的图像数据与窗口中的相邻像素的图像数据之间的差值 区域(33)设置在通知像素(33a)周围,从而确定作为每个窗口区域中的窗口区域局部差值的最大值的最大局部差值; 基于所述最大局部差值确定反映所述输入图像的特性的阈值; 通过使用所述阈值对所述输入图像的各个像素产生自适应滤波器系数; 并且通过使用自适应滤波器系数来执行输入图像的滤波处理。
    • 10. 发明申请
    • Image Correction Device and Image Correction Method
    • 图像校正装置及图像校正方法
    • US20070252899A1
    • 2007-11-01
    • US11664459
    • 2006-04-06
    • Toshiyuki ShimizuYoshiki OnoNaoyuki FujiyamaShuji SotodaYoshiko Hatano
    • Toshiyuki ShimizuYoshiki OnoNaoyuki FujiyamaShuji SotodaYoshiko Hatano
    • H04N5/228
    • G06T5/20H04N5/23212H04N5/23248H04N5/23254H04N5/23264
    • An image correction method can perform adaptive correction processing to a taken image by a simple construction in a short time, and includes the steps of: computing window region local difference values for a plurality of neighboring pixels, each of the window region local difference values being a difference value between image data of a notice pixel (33a) in a difference value determination region (32) formed of a whole or a part of a screen area of an input image (31) and image data of a neighboring pixel in a window region (33) set around the notice pixel (33a), thereby determining a maximum local difference value which is a maximum value of the window region local difference values in each window region; determining a threshold value reflecting a characteristic of the input image on the basis of the maximum local difference value; producing adaptive filter coefficients for respective pixels of the input image by using the threshold value; and performing filter processing of the input image by using the adaptive filter coefficients.
    • 图像校正方法可以通过简单的结构在短时间内对拍摄图像执行自适应校正处理,并且包括以下步骤:计算多个相邻像素的窗口区域局部差值,每个窗口区域局部差值为 在由输入图像(31)的整个或一部分屏幕区域形成的差值确定区域(32)中的通知像素(33a)的图像数据与图像数据中的相邻像素的图像数据之间的差值 窗口区域(33)设置在通知像素(33a)周围,从而确定作为每个窗口区域中的窗口区域局部差值的最大值的最大局部差值; 基于所述最大局部差值确定反映所述输入图像的特性的阈值; 通过使用所述阈值对所述输入图像的各个像素产生自适应滤波器系数; 并且通过使用自适应滤波器系数来执行输入图像的滤波处理。