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    • 1. 发明授权
    • De-ringing operation for image processing
    • 去抖动操作进行图像处理
    • US08300948B2
    • 2012-10-30
    • US12400596
    • 2009-03-09
    • Bo ZhangAshish KoulOlivier Francois Joseph Harel
    • Bo ZhangAshish KoulOlivier Francois Joseph Harel
    • G06K9/48G06K9/40
    • H04N5/21H04N5/142
    • De-ringing operation for image processing. A selective image processing means is presented herein by which high frequency content is preserved while also eliminating ringing within digital images, and this is achieved without introducing aliasing. Based on the analysis of neighboring pixels, one or more of multiple filter modules and/or multiple image filtering/rocessing means is/are selectively applied to generate an output sample for a given pixel location. Two measures (e.g., local activity (LA) and edge strength (ES)) are calculated based on processing at least two different groups of pixels near a desired output sample. One of these groups of pixels may be a subset of another of the groups of pixels. By analyzing these two measures (e.g., LA and ES), selective processing of pixels near the desired output location ensures that high frequency content within the digital image is preserved with substantially reduced and/or eliminated ringing therein.
    • 去抖动操作进行图像处理。 本文提出了选择性图像处理装置,通过该选择图像处理装置保持高频内容,同时还消除数字图像内的振铃,并且在不引入混叠的情况下实现。 基于相邻像素的分析,选择性地应用多个滤波器模块和/或多个图像滤波/加工装置中的一个或多个以产生给定像素位置的输出样本。 基于在期望的输出样本附近处理至少两个不同的像素组来计算两个度量(例如,局部活动(LA)和边缘强度(ES))。 这些像素组之一可以是像素组中另一组的子集。 通过分析这两个测量(例如LA和ES),对期望输出位置附近的像素的选择性处理确保数字图像内的高频内容被保留,其中基本上减少和/或消除振铃。
    • 2. 发明申请
    • De-ringing operation for image processing
    • 去抖动操作进行图像处理
    • US20100135592A1
    • 2010-06-03
    • US12400596
    • 2009-03-09
    • Bo ZhangAshish KoulOlivier Francois Joseph Harel
    • Bo ZhangAshish KoulOlivier Francois Joseph Harel
    • G06K9/40H04N5/00H04N5/44
    • H04N5/21H04N5/142
    • De-ringing operation for image processing. A selective image processing means is presented herein by which high frequency content is preserved while also eliminating ringing within digital images, and this is achieved without introducing aliasing. Based on the analysis of neighboring pixels, one or more of multiple filter modules and/or multiple image filtering/processing means is/are selectively applied to generate an output sample for a given pixel location. Two measures (e.g., local activity (LA) and edge strength (ES)) are calculated based on processing at least two different groups of pixels near a desired output sample. One of these groups of pixels may be a subset of another of the groups of pixels. By analyzing these two measures (e.g., LA and ES), selective processing of pixels near the desired output location ensures that high frequency content within the digital image is preserved with substantially reduced and/or eliminated ringing therein.
    • 去抖动操作进行图像处理。 本文提出了选择性图像处理装置,通过该选择图像处理装置保持高频内容,同时还消除数字图像内的振铃,并且在不引入混叠的情况下实现。 基于相邻像素的分析,选择性地应用多个滤波器模块和/或多个图像滤波/处理装置中的一个或多个以产生用于给定像素位置的输出样本。 基于在期望的输出样本附近处理至少两个不同的像素组来计算两个度量(例如,局部活动(LA)和边缘强度(ES))。 这些像素组之一可以是像素组中另一组的子集。 通过分析这两个测量(例如LA和ES),对期望输出位置附近的像素的选择性处理确保数字图像内的高频内容被保留,其中基本上减少和/或消除振铃。
    • 3. 发明授权
    • Method and system for digital noise reduction of scaled compressed video pictures
    • 数字降噪压缩视频图像的方法和系统
    • US08842741B2
    • 2014-09-23
    • US12975977
    • 2010-12-22
    • Brian SchonerJaewon ShinOlivier Francois Joseph HarelAdvait Madhav MogreHyeong-Seok Victor Ha
    • Brian SchonerJaewon ShinOlivier Francois Joseph HarelAdvait Madhav MogreHyeong-Seok Victor Ha
    • H04N5/00H04N19/86
    • H04N19/00909H04N19/86
    • In a video processing device, scale of a video image is detected for vertical and horizontal directions based on pixel information, for example, per pixel vertical and horizontal gradients. Gradients are utilized or discarded based on picture format, standard deviation of luma levels and pixel location relative to black border edges, graphics and/or overlaid content. Mosquito noise filters are adapted based on scale and/or noise strength. Median and/or linear filter results are selected based on a weakest, a strongest and/or a blended result. Horizontal and vertical operations are performed separately for edge detection, edge strength determination, filtering and filter correction control. Horizontal and vertical block grid spacing and grid shift are determined. Block noise strength is determined. Block noise filters are configured based on scaling and/or noise strength. Filter corrections are limited based on block noise strength. Noise reduction results may be blended to generate a pixel correction value.
    • 在视频处理设备中,基于像素信息,例如每像素垂直和水平梯度,检测垂直和水平方向的视频图像的尺度。 基于图像格式,亮度级别的标准偏差和相对于黑色边缘边缘,图形和/或重叠内容的像素位置来使用或丢弃渐变。 蚊子噪声滤波器基于规模和/或噪声强度进行调整。 基于最弱,最强和/或混合结果选择中值和/或线性滤波器结果。 水平和垂直操作分别进行边缘检测,边缘强度确定,滤波和滤波器校正控制。 确定水平和垂直方格网格间距和网格位移。 确定噪声强度。 基于缩放和/或噪声强度配置块噪声滤波器。 基于块噪声强度限制滤波器校正。 可以混合噪声降低结果以产生像素校正值。
    • 4. 发明申请
    • Method And System For Digital Noise Reduction Of Scaled Compressed Video Pictures
    • 数字降噪缩放压缩视频图像的方法和系统
    • US20120162525A1
    • 2012-06-28
    • US12975977
    • 2010-12-22
    • Brian SchonerJaewon ShinOlivier Francois Joseph HarelAdvait Madhav MogreHyeong-Seok Victor Ha
    • Brian SchonerJaewon ShinOlivier Francois Joseph HarelAdvait Madhav MogreHyeong-Seok Victor Ha
    • H04N5/00
    • H04N19/00909H04N19/86
    • In a video processing device, scale of a video image is detected for vertical and horizontal directions based on pixel information, for example, per pixel vertical and horizontal gradients. Gradients are utilized or discarded based on picture format, standard deviation of luma levels and pixel location relative to black border edges, graphics and/or overlaid content. Mosquito noise filters are adapted based on scale and/or noise strength. Median and/or linear filter results are selected based on a weakest, a strongest and/or a blended result. Horizontal and vertical operations are performed separately for edge detection, edge strength determination, filtering and filter correction control. Horizontal and vertical block grid spacing and grid shift are determined. Block noise strength is determined. Block noise filters are configured based on scaling and/or noise strength. Filter corrections are limited based on block noise strength. Noise reduction results may be blended to generate a pixel correction value.
    • 在视频处理设备中,基于像素信息,例如每像素垂直和水平梯度,检测垂直和水平方向的视频图像的尺度。 基于图像格式,亮度级别的标准偏差和相对于黑色边缘边缘,图形和/或重叠内容的像素位置来使用或丢弃渐变。 蚊子噪声滤波器基于规模和/或噪声强度进行调整。 基于最弱,最强和/或混合结果选择中值和/或线性滤波器结果。 水平和垂直操作分别进行边缘检测,边缘强度确定,滤波和滤波器校正控制。 确定水平和垂直方格网格间距和网格位移。 确定噪声强度。 基于缩放和/或噪声强度配置块噪声滤波器。 基于块噪声强度限制滤波器校正。 可以混合噪声降低结果以产生像素校正值。