公开(公告)号：US08432392B2

公开(公告)日：2013-04-30

申请号：US13160409

申请日：2011-06-14

申请人： Yoon Kyung Kim ,  Zhi Zhou ,  Yeong-Taeg Kim

发明人： Yoon Kyung Kim ,  Zhi Zhou ,  Yeong-Taeg Kim

IPC分类号： G06T15/00

CPC分类号： H04N13/261 ,  G06T7/50 ,  H04N13/271

摘要： A method of operation of a display system includes: receiving a current input image with current input pixels; identifying an input object, having input object pixels, based on differences in characteristics of the current input pixels; calculating an object pixel depth for the input object pixels from an image depth map of the current input image based on a weighted average of depth candidates; and generating a processed image, having a perceived depth, from the current input image with the image depth map and the object pixel depth for displaying on a device.

摘要翻译： 显示系统的操作方法包括：利用当前输入像素接收当前输入图像; 基于当前输入像素的特性的不同，识别具有输入对象像素的输入对象; 基于深度候选的加权平均，从当前输入图像的图像深度图计算输入对象像素的对象像素深度; 并且从具有图像深度图的当前输入图像和用于在设备上显示的对象像素深度生成具有感知深度的处理图像。

公开(公告)号：US20120056874A1

公开(公告)日：2012-03-08

申请号：US13160409

申请日：2011-06-14

申请人： Yoon Kyung Kim ,  Zhi Zhou ,  Yeong-Taeg Kim

发明人： Yoon Kyung Kim ,  Zhi Zhou ,  Yeong-Taeg Kim

IPC分类号： G06T15/00

CPC分类号： H04N13/261 ,  G06T7/50 ,  H04N13/271

摘要： A method of operation of a display system includes: receiving a current input image with current input pixels; identifying an input object, having input object pixels, based on differences in characteristics of the current input pixels; calculating an object pixel depth for the input object pixels from an image depth map of the current input image based on a weighted average of depth candidates; and generating a processed image, having a perceived depth, from the current input image with the image depth map and the object pixel depth for displaying on a device.

摘要翻译： 显示系统的操作方法包括：利用当前输入像素接收当前输入图像; 基于当前输入像素的特性的不同，识别具有输入对象像素的输入对象; 基于深度候选的加权平均，从当前输入图像的图像深度图计算输入对象像素的对象像素深度; 并且从具有图像深度图的当前输入图像和用于在设备上显示的对象像素深度生成具有感知深度的处理图像。

公开(公告)号：US20130010873A1

公开(公告)日：2013-01-10

申请号：US13619288

申请日：2012-09-14

申请人： Surapong Lertrattanapanich ,  Yeong-Taeg Kim ,  Zhi Zhou

发明人： Surapong Lertrattanapanich ,  Yeong-Taeg Kim ,  Zhi Zhou

IPC分类号： H04N7/32

CPC分类号： G06T7/238 ,  G06T2207/10016 ,  G06T2207/20021

摘要： A system and method which determines an adaptive vertical search range used to provide motion estimation in digital video content are disclosed. In some embodiments, a fixed-size vertical search range for the motion estimation is defined and utilized. A reference frame and target frame are stored in memory, and a block in the reference frame is selected for consideration. An offset value is determined which is indicative of a directional shift of the fixed-size vertical search range and the vertical search range is shifted based on the offset value. A motion vector is then estimated using the shifted vertical search range.

摘要翻译： 公开了一种确定用于在数字视频内容中提供运动估计的自适应垂直搜索范围的系统和方法。 在一些实施例中，定义和利用用于运动估计的固定尺寸垂直搜索范围。 将参考帧和目标帧存储在存储器中，并且选择参考帧中的块以供考虑。 确定指示固定尺寸垂直搜索范围的方向偏移的偏移值，并且基于偏移值移动垂直搜索范围。 然后使用偏移的垂直搜索范围来估计运动矢量。

公开(公告)号：US08050325B2

公开(公告)日：2011-11-01

申请号：US11767365

申请日：2007-06-22

申请人： Zhi Zhou ,  Yeong Taeg Kim

发明人： Zhi Zhou ,  Yeong Taeg Kim

IPC分类号： H04N7/12 ,  H04N11/02 ,  G06K9/36

CPC分类号： H04N5/145 ,  H04N7/0127 ,  H04N7/014 ,  H04N19/176 ,  H04N19/40 ,  H04N19/44 ,  H04N19/521 ,  H04N19/55 ,  H04N19/553 ,  H04N19/61

摘要： A system and method for more efficiently determining motion vectors of uncovering areas adjacent the edge of frames when the frame image is moving in the direction of the frame boundary. Backwards motion estimation is used to determine a block of video data which is, in one implementation, the block of video data adjacent the frame edge having a reliable motion vector known from the first frame. Once the block is identified, the blocks of video data in the uncovering area between the identified block and the frame boundary can then be assigned the motion vector data of the identified block.

摘要翻译： 一种用于当帧图像沿着帧边界的方向移动时，用于更有效地确定与帧边缘相邻的露出区域的运动矢量的系统和方法。 向后运动估计用于确定视频数据块，在一个实现中，与帧边缘相邻的视频数据块具有从第一帧已知的可靠的运动矢量。 一旦识别出块，则识别的块和帧边界之间的揭露区域中的视频数据块可以被分配给所识别的块的运动矢量数据。

公开(公告)号：US07714939B2

公开(公告)日：2010-05-11

申请号：US11100369

申请日：2005-04-05

申请人： Zhi Zhou ,  Yeong-Taeg Kim

发明人： Zhi Zhou ,  Yeong-Taeg Kim

IPC分类号： H04N5/14 ,  H04N11/02

CPC分类号： H04N17/00

摘要： A method for reliability estimation of temporal noise estimation in a sequence of video frames. The temporal local differences from a difference between a previous frame and a next frame in the sequence of frames is determined. A distribution of the temporal local difference is determined. Characteristics values of the distribution are determined. The characteristics values are compared to the thresholds to obtain an indication of the reliability of the temporal noise estimation. If the estimated noise variance is determined as not reliable, it will be discarded and the previous estimated reliable noise variance will be used instead indicating the noise level of the current frame.

摘要翻译： 一种视频帧序列中时间噪声估计的可靠性估计方法。 确定与帧序列中的先前帧和下一帧之间的差的时间局部差异。 确定时间局部差异的分布。 确定分布的特征值。 将特征值与​​阈值进行比较以获得时间噪声估计的可靠性的指示。 如果估计的噪声方差被确定为不可靠，则将被丢弃，并且将使用先前估计的可靠噪声方差来指示当前帧的噪声水平。

公开(公告)号：US07570309B2

公开(公告)日：2009-08-04

申请号：US11236936

申请日：2005-09-27

申请人： Zhi Zhou ,  Yeong-Taeg Kim

发明人： Zhi Zhou ,  Yeong-Taeg Kim

IPC分类号： H04N5/21

CPC分类号： H04N5/145 ,  H04N5/21

摘要： An improved temporal noise reduction method and system detects the global motion and adjusts the overall gain of the temporal filtering. Temporal noise reduction is applied to two video frames, wherein one video frame is the current input noisy frame, and the other video frame is a previous filtered frame stored in memory. In this method, noise estimation is first performed to estimate the noise variance/standard deviation in the input video sequence. Then, motion estimation is applied to obtain the motion vectors indicating relative motion between the pixels in the current noisy frame and the corresponding pixels in the previous noise-reduced frame. From such motion vectors, global motion estimation is applied to estimate the camera motion of the video sequence. If reliable global motion is obtained, the overall gain of the temporal filtering is reduced by adjusting the estimated noise level. Motion blur is thus prevented.

摘要翻译： 改进的时间噪声降低方法和系统检测全局运动并调整时间滤波的总体增益。 时间噪声降低被应用于两个视频帧，其中一个视频帧是当前输入噪声帧，而另一个视频帧是存储在存储器中的先前滤波的帧。 在该方法中，首先执行噪声估计以估计输入视频序列中的噪声方差/标准偏差。 然后，应用运动估计来获得指示当前噪声帧中的像素与先前减噪帧中的相应像素之间的相对运动的运动矢量。 从这样的运动矢量，应用全局运动估计来估计视频序列的相机运动。 如果获得可靠的全局运动，则通过调整估计的噪声电平来减小时间滤波的总体增益。 因此防止运动模糊。

公开(公告)号：US07570306B2

公开(公告)日：2009-08-04

申请号：US11236919

申请日：2005-09-27

申请人： Zhi Zhou ,  Yeong-Taeg Kim ,  Surapong Lertrattanapanich

发明人： Zhi Zhou ,  Yeong-Taeg Kim ,  Surapong Lertrattanapanich

IPC分类号： H04N1/393 ,  H04N5/21 ,  H04N1/409

CPC分类号： H04N5/208 ,  G06T3/4084

摘要： A video scaling process system, wherein the high frequency components of the input video sequence are compensated for, prior to video scaling. The video scaling system includes a pre-compensator for compensation of the high frequency components of the input video sequence, and a video scaler. The pre-compensator includes a high frequency component extractor, a noise detector and a shoot suppressor. The high frequency component extractor extracts the high frequency compensation component from an input video sequence. The noise detector adjusts the gain of the compensation to avoid the enhancement of the noise component. The shoot suppressor further adjusts the gain of the compensation to avoid shoot artifacts. The adjusted high frequency compensated video is added back to the input video. The pre-compensated video sequence is then passed through a video scaler to obtain the scaled video. As such, the sharpness of the scaled video is maintained or even enhanced.

摘要翻译： 一种视频缩放处理系统，其中在视频缩放之前补偿输入视频序列的高频分量。 视频缩放系统包括用于补偿输入视频序列的高频分量的预补偿器和视频缩放器。 预补偿器包括高频分量提取器，噪声检测器和拍摄抑制器。 高频分量提取器从输入视频序列中提取高频补偿分量。 噪声检测器调整补偿的增益，以避免噪声分量的增强。 拍摄抑制器进一步调整补偿的增益以避免拍摄伪影。 经调整的高频补偿视频被添加回输入视频。 然后，预补偿视频序列通过视频缩放器传递以获得缩放的视频。 因此，缩放视频的清晰度得以维持甚至提高。

公开(公告)号：US20070236610A1

公开(公告)日：2007-10-11

申请号：US11394954

申请日：2006-03-30

申请人： Zhi Zhou ,  Yeong-Taeg Kim ,  Ning Xu

发明人： Zhi Zhou ,  Yeong-Taeg Kim ,  Ning Xu

IPC分类号： G06K9/40 ,  H04N5/00

CPC分类号： H04N19/80 ,  H04N19/85

摘要： An image processing system implements recursive 3D super precision for processing smoothly changing video image areas by performing temporal noise reduction and then 2D super precision. The temporal noise reduction is applied to two frames, one being the current input low precision frame, and the other being the previous higher precision frame from memory. The 2D super precision is applied to the noise reduced frame to output a high precision frame which is also saved into memory for processing the next incoming frame. The input frame has a limited bit depth while the output image has an increased bit depth.

摘要翻译： 图像处理系统通过执行时间噪声降低然后2D超精度实现递归3D超精度，用于处理平滑变化的视频图像区域。 时间噪声降低被应用于两个帧，一个是当前输入低精度帧，另一个是来自存储器的先前较高精度帧。 2D超精度被应用于降噪帧以输出高精度帧，其也被保存到存储器中用于处理下一帧。 输入帧具有有限的位深度，而输出图像具有增加的位深度。

公开(公告)号：US20060232713A1

公开(公告)日：2006-10-19

申请号：US11107710

申请日：2005-04-14

申请人： Zhi Zhou ,  Yeong-Taeg Kim

发明人： Zhi Zhou ,  Yeong-Taeg Kim

IPC分类号： H04N5/14 ,  H04N9/64

CPC分类号： H04N5/144 ,  H04N5/21

摘要： A method of computing a motion decision signal for a video processing system, by: inputting a video signal including a video sequence of frames; filtering a frame in the video signal; computing a point-wise temporal local difference signal between the filtered frame and a next frame in the video sequence; computing a point-wise motion decision signal based on the temporal local difference signal.

摘要翻译： 一种通过以下操作计算视频处理系统的运动判定信号的方法：输入包括帧的视频序列的视频信号; 对视频信号中的帧进行滤波; 计算所述经滤波的帧与所述视频序列中的下一帧之间的逐点时间本地差分信号; 基于时间局部差分信号计算逐点运动判定信号。

公开(公告)号：US20060232710A1

公开(公告)日：2006-10-19

申请号：US11110336

申请日：2005-04-19

申请人： Zhi Zhou ,  Yeong-Taeg Kim

发明人： Zhi Zhou ,  Yeong-Taeg Kim

IPC分类号： H04N5/00 ,  H04N5/14

CPC分类号： H04N5/21 ,  G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/20182 ,  G06T2207/20192 ,  H04N5/144 ,  H04N19/80

摘要： A method of bidirectional temporal noise reduction in a video signal processing system is provided. A video signal comprising a video sequence of frames is received. Backward temporal noise reduction is performed on the sequence of frames to obtain backward noise-reduced frames. Then, forward temporal noise reduction is performed on the backward noise-reduced frames, to reduce noise in the video sequence of frames.