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    • 1. 发明授权
    • Method of removing noise from digital moving picture data
    • 从数字运动图像数据中去除噪声的方法
    • US07369181B2
    • 2008-05-06
    • US11001900
    • 2004-12-02
    • Moon-Gi KangSung-Cheol Park
    • Moon-Gi KangSung-Cheol Park
    • H04N5/21
    • H04N9/646H04N5/144H04N5/145H04N5/147H04N5/208H04N5/21
    • Provided is a method of removing noise from digital moving picture data reducing the number of frames used in a temporal filtering operation and able to detect motion between frames easily. The method comprises a method of spatial filtering, a method of temporal filtering, and a method of performing the spatial filtering and the temporal filtering sequentially. The spatial filtering method applies a spatial filtering in a YCbCr color space, preserving a contour/edge in the image in the spatial domain, and generating a weight that is adaptive to the noise for discriminating the contour/edge in the temporal filtering operation. The temporal filtering method applies temporal filtering based on motion detection and scene change detection, compensating for global motion, the motion detection considering the brightness difference and color difference of the pixels compared between frames in the temporal filtering operation, and a weight that is adaptive to the noise for detecting the motion in the temporal filtering operation. The spatial filtering method is preferably performed first, and the temporal filtering method is performed with the result of the spatial filtering.
    • 提供了一种从数字运动图像数据中去除噪声的方法,减少了在时间滤波操作中使用的帧数,并且能够容易地检测帧之间的运动。 该方法包括空间滤波的方法,时间滤波的方法以及依次执行空间滤波和时间滤波的方法。 空间滤波方法在YCbCr颜色空间中应用空间滤波,在空间域中保留图像中的轮廓/边缘,并且生成适应噪声的权重,以便在时间滤波操作中区分轮廓/边缘。 时间滤波方法基于运动检测和场景变化检测,补偿全局运动,考虑时间滤波运算中的帧之间的亮度差和色差的运动检测,以及适应于 用于在时间滤波操作中检测运动的噪声。 首先进行空间滤波处理,利用空间滤波的结果进行时间滤波处理。
    • 2. 发明申请
    • Method of removing noise from digital moving picture data
    • 从数字运动图像数据中去除噪声的方法
    • US20050128355A1
    • 2005-06-16
    • US11001900
    • 2004-12-02
    • Moon-Gi KangSung-Cheol Park
    • Moon-Gi KangSung-Cheol Park
    • G06T5/20H04N5/14H04N5/208H04N5/21H04N5/213H04N7/24H04N9/64
    • H04N9/646H04N5/144H04N5/145H04N5/147H04N5/208H04N5/21
    • Provided is a method of removing noise from digital moving picture data reducing the number of frames used in a temporal filtering operation and able to detect motion between frames easily. The method comprises a method of spatial filtering, a method of temporal filtering, and a method of performing the spatial filtering and the temporal filtering sequentially. The spatial filtering method applies a spatial filtering in a YCbCr color space, preserving a contour/edge in the image in the spatial domain, and generating a weight that is adaptive to the noise for discriminating the contour/edge in the temporal filtering operation. The temporal filtering method applies temporal filtering based on motion detection and scene change detection, compensating for global motion, the motion detection considering the brightness difference and color difference of the pixels compared between frames in the temporal filtering operation, and a weight that is adaptive to the noise for detecting the motion in the temporal filtering operation. The spatial filtering method is preferably performed first, and the temporal filtering method is performed with the result of the spatial filtering.
    • 提供了一种从数字运动图像数据中去除噪声的方法,减少了在时间滤波操作中使用的帧数,并且能够容易地检测帧之间的运动。 该方法包括空间滤波的方法,时间滤波的方法以及依次执行空间滤波和时间滤波的方法。 空间滤波方法在YCbCr颜色空间中应用空间滤波,在空间域中保留图像中的轮廓/边缘,并且生成适应噪声的权重,以便在时间滤波操作中区分轮廓/边缘。 时间滤波方法基于运动检测和场景变化检测,补偿全局运动,考虑时间滤波运算中的帧之间的亮度差和色差的运动检测,以及适应于 用于在时间滤波操作中检测运动的噪声。 首先进行空间滤波处理,利用空间滤波的结果进行时间滤波处理。
    • 5. 发明授权
    • Method for filtering image noise using pattern information
    • 使用模式信息过滤图像噪声的方法
    • US07734115B2
    • 2010-06-08
    • US11526479
    • 2006-09-25
    • Moon-Gi KangGun-Shik ShinChang-Won KimMin-Kyu Park
    • Moon-Gi KangGun-Shik ShinChang-Won KimMin-Kyu Park
    • G06K9/40
    • G06T5/002G06T5/20
    • Disclosed is a method for removing image noise using pattern information, which filters noise caught by a sensor during preprocessing of a compression codec, so as to increase a compression efficiency, and noise caused by the codec during post-processing of the codec, so as to obtain high quality images. The method includes the steps of: (a) carrying out region dispersion with respect to input image signals so that the image signals are dispersed with a predetermined pixel size; (b) calculating mean brightness of the input image signals and carrying out noise dispersion with respect to the input image signals; (c) switching a low frequency and a high frequency based on image signals which are subjected to the region dispersion and the noise dispersion; (d) removing noise based on a statistic after obtaining the region average with respect to the image signals having the low frequency; and (e) removing noise based on a similarity of pixels after analyzing patterns with relation to the image signals having the high frequency.
    • 公开了一种使用图案信息去除图像噪声的方法,该图案信息在压缩编解码器的预处理期间过滤由传感器捕获的噪声,以便提高压缩效率,以及在编解码器的后处理期间由编解码器引起的噪声,从而 以获得高质量的图像。 该方法包括以下步骤:(a)相对于输入图像信号执行区域色散,使得图像信号以预定像素尺寸分散; (b)计算输入图像信号的平均亮度并对输入图像信号执行噪声色散; (c)基于经受区域色散和噪声色散的图像信号切换低频和高频; (d)在获得相对于具有低频率的图像信号的区域平均值之后,基于统计消除噪声; 以及(e)根据与具有高频率的图像信号分析图案之后的像素的相似度去除噪声。
    • 6. 发明授权
    • Method and apparatus for correcting lens shading
    • 用于校正透镜阴影的方法和装置
    • US08406557B2
    • 2013-03-26
    • US12832631
    • 2010-07-08
    • Min-Kyu ParkHee-Chan ParkJin-Ho KimJi-Hye KimSung-Dae ChoMoon-Gi KangChang-Won KimHyun-Mook Oh
    • Min-Kyu ParkHee-Chan ParkJin-Ho KimJi-Hye KimSung-Dae ChoMoon-Gi KangChang-Won KimHyun-Mook Oh
    • G06K9/40H04N9/64H04N5/217
    • H04N5/3572
    • A lens shading correction method and apparatus are provided for removing vignetting occurring in digital images due to lens shading. A white image captured by an image pickup device and an image pickup unit is separated into reference white images corresponding to color channels. A vignetting center having a maximum light intensity is estimated in each of the reference white images. Multiple reference segments on each of the reference white images are defined. A lens shading correction value corresponding to each pixel constituting the reference segments are calculated using a corresponding light intensity. A lens shading correction function corresponding to each reference segment is derived using a corresponding lens shading correction value. Vignetting of a general image received in a general image processing mode is removed, using the derived multiple lens shading correction functions.
    • 提供了一种透镜阴影校正方法和装置,用于消除由于透镜阴影而在数字图像中发生的渐晕。 由图像拾取装置和图像拾取单元拍摄的白色图像被分离为与颜色通道对应的参考白色图像。 在每个参考白色图像中估计具有最大光强度的渐晕中心。 定义每个参考白图像上的多个参考段。 使用对应的光强度计算与构成基准片段的每个像素对应的镜片阴影校正值。 使用相应的透镜阴影校正值导出与每个参考片段对应的镜片遮蔽校正功能。 使用导出的多个透镜阴影校正功能来消除在一般图像处理模式中接收的一般图像的渐晕。
    • 8. 发明申请
    • Method for filtering image noise using pattern information
    • 使用模式信息过滤图像噪声的方法
    • US20070133895A1
    • 2007-06-14
    • US11526479
    • 2006-09-25
    • Moon-Gi KangGun-Shik ShinChang-Won KimMin-Kyu Park
    • Moon-Gi KangGun-Shik ShinChang-Won KimMin-Kyu Park
    • G06K9/40
    • G06T5/002G06T5/20
    • Disclosed is a method for removing image noise using pattern information, which filters noise caught by a sensor during preprocessing of a compression codec, so as to increase a compression efficiency, and noise caused by the codec during post-processing of the codec, so as to obtain high quality images. The method includes the steps of: (a) carrying out region dispersion with respect to input image signals so that the image signals are dispersed with a predetermined pixel size; (b) calculating mean brightness of the input image signals and carrying out noise dispersion with respect to the input image signals; (c) switching a low frequency and a high frequency based on image signals which are subjected to the region dispersion and the noise dispersion; (d) removing noise based on a statistic after obtaining the region average with respect to the image signals having the low frequency; and (e) removing noise based on a similarity of pixels after analyzing patterns with relation to the image signals having the high frequency.
    • 公开了一种使用图案信息去除图像噪声的方法,该图案信息在压缩编解码器的预处理期间过滤由传感器捕获的噪声,以便提高压缩效率,以及在编解码器的后处理期间由编解码器引起的噪声,从而 以获得高质量的图像。 该方法包括以下步骤:(a)相对于输入图像信号执行区域色散,使得图像信号以预定像素尺寸分散; (b)计算输入图像信号的平均亮度并对输入图像信号执行噪声色散; (c)基于经受区域色散和噪声色散的图像信号切换低频和高频; (d)在获得相对于具有低频率的图像信号的区域平均值之后,基于统计消除噪声; 以及(e)根据与具有高频率的图像信号分析图案之后的像素的相似度去除噪声。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR CORRECTING LENS SHADING
    • 矫正镜片的方法和装置
    • US20110007969A1
    • 2011-01-13
    • US12832631
    • 2010-07-08
    • Min-Kyu PARKHee-Chan ParkJin-Ho KimJi-Hye KimSung-Dae ChoMoon-Gi KangChang-Won KimHyun-Mook Oh
    • Min-Kyu PARKHee-Chan ParkJin-Ho KimJi-Hye KimSung-Dae ChoMoon-Gi KangChang-Won KimHyun-Mook Oh
    • G06K9/40
    • H04N5/3572
    • A lens shading correction method and apparatus are provided for removing vignetting occurring in digital images due to lens shading. A white image captured by an image pickup device and an image pickup unit is separated into reference white images corresponding to color channels. A vignetting center having a maximum light intensity is estimated in each of the reference white images. Multiple reference segments on each of the reference white images are defined. A lens shading correction value corresponding to each pixel constituting the reference segments are calculated using a corresponding light intensity. A lens shading correction function corresponding to each reference segment is derived using a corresponding lens shading correction value. Vignetting of a general image received in a general image processing mode is removed, using the derived multiple lens shading correction functions.
    • 提供了一种透镜阴影校正方法和装置,用于消除由于透镜阴影而在数字图像中发生的渐晕。 由图像拾取装置和图像拾取单元拍摄的白色图像被分离为与颜色通道对应的参考白色图像。 在每个参考白色图像中估计具有最大光强度的渐晕中心。 定义每个参考白图像上的多个参考段。 使用对应的光强度计算与构成基准片段的每个像素对应的镜片阴影校正值。 使用相应的透镜阴影校正值导出与每个参考片段对应的镜片遮蔽校正功能。 使用导出的多个透镜阴影校正功能来消除在一般图像处理模式中接收的一般图像的渐晕。