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    • 9. 发明申请
    • IMAGE PROCESSING DEVICE AND METHOD AND IMAGE DISPLAY DEVICE
    • 图像处理装置和方法以及图像显示装置
    • US20120033137A1
    • 2012-02-09
    • US13195964
    • 2011-08-02
    • Naoyuki FUJIYAMAYoshiki Ono
    • Naoyuki FUJIYAMAYoshiki Ono
    • H04N5/21
    • H04N5/21H04N5/144
    • Motion blur at a pixel of interest in a video signal is corrected adaptively by detecting a motion vector of the pixel of interest, estimating the direction and magnitude of the motion blur from the motion vector, and filtering the video signal at the pixel of interest. The filtering process uses the pixel values of the pixels in a neighborhood of the pixel of interest, clipped so that they do not differ too greatly from the pixel value of the pixel of interest, and low-pass filtering coefficients selected according to the estimated direction and magnitude. The filtered value is used to calculate a gain factor for correcting the pixel value of the pixel of interest. The strength of the correction is adjusted according to the difference between the pixel value of the pixel of interest and the mean pixel value in its vicinity. The adjustment and clipping prevent overcorrection.
    • 通过检测感兴趣像素的运动矢量,从运动矢量估计运动模糊的方向和幅度,以及对感兴趣像素处的视频信号进行滤波,自适应地修正视频信号中感兴趣的像素上的运动模糊。 滤波处理使用感兴趣像素的邻域中的像素的像素值被剪切,使得它们与感兴趣像素的像素值没有太大差异,以及根据估计方向选择的低通滤波系数 和量级。 滤波后的值用于计算用于校正感兴趣像素的像素值的增益因子。 根据感兴趣像素的像素值和其附近的平均像素值之间的差异来调整校正的强度。 调整和裁剪防止过度矫正。
    • 10. 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。