Methods to estimate noise variance from a video sequence
    31.
    发明申请
    Methods to estimate noise variance from a video sequence 失效
    从视频序列估计噪声方差的方法

    公开(公告)号:US20060103765A1

    公开(公告)日:2006-05-18

    申请号:US10991265

    申请日:2004-11-17

    IPC分类号: H04N5/14

    CPC分类号: H04N5/21

    摘要: A noise estimation system that estimates noises in a sequence of video frames, uses a an image structure remover and a noise variance calculator. The image structure remover computes the difference over a local window in two consecutive frames. The noise variance calculator estimates the noise variance (standard deviation) from the distribution of the local difference. If there is no motion or small motion between two consecutive frames, the image structure can be removed by calculating the local difference, whereby very robust estimation is obtained.

    摘要翻译: 估计视频帧序列中的噪声的噪声估计系统使用图像结构去除器和噪声方差计算器。 图像结构去除器在两个连续帧中计算局部窗口上的差异。 噪声方差计算器估计噪声方差(标准偏差)与局部差异的分布。 如果在两个连续帧之间没有运动或小的运动,则可以通过计算局部差异来去除图像结构,从而获得非常鲁棒的估计。

    System and method for identification of vertical scrolling regions in digital video
    32.
    发明授权
    System and method for identification of vertical scrolling regions in digital video 失效
    用于识别数字视频中垂直滚动区域的系统和方法

    公开(公告)号:US08411738B2

    公开(公告)日:2013-04-02

    申请号:US12403182

    申请日:2009-03-12

    IPC分类号: H04N7/12

    CPC分类号: G06K9/3266 G06K2209/01

    摘要: A vertical scrolling region detector may include a motion estimator that can generate motion vectors between blocks of two or more primary frames of a mixed-mode video sequence. The detector may also include a primary frame motion analyzer that can analyze the motion vectors to detect substantially constant vertical motion of at least some of the blocks between the two or more primary frames. The presence of substantially constant vertical motion may reflect the presence of a vertical scrolling region in the mixed-mode video sequence. Moreover, the detector may also include a consecutive frame motion analyzer that can calculate differences in pixel values between lines of two or more consecutive frames in the mixed-mode video sequence. The differences in pixel values may further reflect the presence of the vertical scrolling region in the mixed-mode video sequence.

    摘要翻译: 垂直滚动区域检测器可以包括运动估计器,其可以在混合模式视频序列的两个或多个主要帧的块之间生成运动矢量。 检测器还可以包括主帧运动分析器,其可以分析运动矢量以检测两个或更多个主帧之间的至少一些块的基本恒定的垂直运动。 基本上恒定的垂直运动的存在可以反映混合模式视频序列中垂直滚动区域的存在。 此外,检测器还可以包括可以计算混合模式视频序列中两个或更多个连续帧的行之间的像素值的差异的连续帧运动分析器。 像素值的差异可进一步反映混合模式视频序列中垂直滚动区域的存在。

    Method and system for adaptive quantization layer reduction in image processing applications
    33.
    发明授权
    Method and system for adaptive quantization layer reduction in image processing applications 失效
    图像处理应用中自适应量化层简化的方法和系统

    公开(公告)号:US08295626B2

    公开(公告)日:2012-10-23

    申请号:US13038218

    申请日:2011-03-01

    IPC分类号: G06K9/00

    摘要: A method and a system for adaptively (dynamically) reducing quantization layer reduction for removing quantization artifacts in quantized video signals is provided. Adaptively reducing quantization layer reduction involves detecting if a selected pixel in a quantized image belongs to a ramp area in each of multiple pre-defined directions, dynamically selecting a quantization level for each of the pre-defined directions based on the corresponding detection results, and refining the pixel based on the selected quantization levels.

    摘要翻译: 提供了一种用于自动(动态)减少量化层减少以消除量化视频信号中的量化伪像的方法和系统。 自适应地减少量化层减少涉及检测量化图像中的所选择的像素是否属于多个预定义方向中的每一个中的斜坡区域,基于相应的检测结果动态地选择每个预定义方向的量化级别,以及 基于所选择的量化级别来改善像素。

    Detection of progressive pulldown in a video sequence
    34.
    发明授权
    Detection of progressive pulldown in a video sequence 失效
    在视频序列中检测渐进下拉

    公开(公告)号:US08077257B2

    公开(公告)日:2011-12-13

    申请号:US11766705

    申请日:2007-06-21

    IPC分类号: H04N7/01 H04N5/46

    CPC分类号: H04N7/0115

    摘要: System and methods for the detection of progressive pulldown in a video sequence are provided. The method comprises calculating a difference between temporally adjacent frames in the video sequence, generating a pattern based upon these differences, and comparing the generated pattern against patterns understood for known progressive film modes in order to determine if the video sequence comprises a known progressive film mode. In one embodiment, the pattern may be adjusted to account for uncertainty in assigning values to the pattern, reducing the likelihood of false detections. In another advantage, confidence metrics are built into the method in order to further reduce the incidence of false detections.

    摘要翻译: 提供了用于检测视频序列中的渐进下拉的系统和方法。 该方法包括计算视频序列中的时间上相邻的帧之间的差异,基于这些差异产生模式,并将生成的模式与已知渐进式电影模式理解的模式进行比较,以便确定视频序列是否包括已知的逐行影片模式 。 在一个实施例中,可以调整图案以考虑为图案赋值的不确定性,从而降低错误检测的可能性。 另一个优点是,为了进一步减少错误检测的发生率,在该方法中内置了置信度量度。

    SYSTEM AND METHOD FOR REDUCING VISIBLE HALO IN DIGITAL VIDEO WITH COVERING AND UNCOVERING DETECTION
    35.
    发明申请
    SYSTEM AND METHOD FOR REDUCING VISIBLE HALO IN DIGITAL VIDEO WITH COVERING AND UNCOVERING DETECTION 有权
    用于在数字视频中减少可见的HALO的系统和方法,具有覆盖和未知检测

    公开(公告)号:US20100283892A1

    公开(公告)日:2010-11-11

    申请号:US12436650

    申请日:2009-05-06

    IPC分类号: H04N7/01

    摘要: A system and method for video frame interpolation are disclosed. In one embodiment, the method comprises receiving first motion estimation data representing estimated motion of blocks between a first frame and a second frame, receiving second motion estimation data representing estimated motion of blocks between the second frame and a third frame, determining whether an area in an interpolated frame between the first and second frame is an occlusion area based at least in part on the first and second motion estimation data, and estimating characteristics of pixels of the area based in part on the determination.

    摘要翻译: 公开了一种用于视频帧插值的系统和方法。 在一个实施例中,该方法包括接收表示在第一帧和第二帧之间的块的估计运动的第一运动估计数据,接收表示在第二帧和第三帧之间的块的估计运动的第二运动估计数据, 第一帧和第二帧之间的内插帧是至少部分地基于第一和第二运动估计数据的遮挡区域,并且部分地基于该确定来估计该区域的像素的特征。

    Methods to estimate noise variance from a video sequence
    36.
    发明授权
    Methods to estimate noise variance from a video sequence 失效
    从视频序列估计噪声方差的方法

    公开(公告)号:US07715645B2

    公开(公告)日:2010-05-11

    申请号:US10991265

    申请日:2004-11-17

    IPC分类号: G06K9/36

    CPC分类号: H04N5/21

    摘要: A noise estimation system that estimates noises in a sequence of video frames, uses a an image structure remover and a noise variance calculator. The image structure remover computes the difference over a local window in two consecutive frames. The noise variance calculator estimates the noise variance (standard deviation) from the distribution of the local difference. If there is no motion or small motion between two consecutive frames, the image structure can be removed by calculating the local difference, whereby very robust estimation is obtained.

    摘要翻译: 估计视频帧序列中的噪声的噪声估计系统使用图像结构去除器和噪声方差计算器。 图像结构去除器在两个连续帧中计算局部窗口上的差异。 噪声方差计算器估计噪声方差(标准偏差)与局部差异的分布。 如果在两个连续帧之间没有运动或小的运动,则可以通过计算局部差异来去除图像结构,从而获得非常鲁棒的估计。

    Method and system for adaptive quantization layer reduction in image processing applications
    37.
    发明申请
    Method and system for adaptive quantization layer reduction in image processing applications 失效
    图像处理应用中自适应量化层简化的方法和系统

    公开(公告)号:US20080175474A1

    公开(公告)日:2008-07-24

    申请号:US11655321

    申请日:2007-01-18

    IPC分类号: G06K9/34

    摘要: A method and a system for adaptively (dynamically) reducing quantization layer reduction for removing quantization artifacts in quantized video signals is provided. Adaptively reducing quantization layer reduction involves detecting if a selected pixel in a quantized image belongs to a ramp area in each of multiple pre-defined directions, dynamically selecting a quantization level for each of the pre-defined directions based on the corresponding detection results, and refining the pixel based on the selected quantization levels.

    摘要翻译: 提供了一种用于自动(动态)减少量化层减少以消除量化视频信号中的量化伪像的方法和系统。 自适应地减少量化层减少涉及检测量化图像中的所选择的像素是否属于多个预定义方向中的每一个中的斜坡区域,基于相应的检测结果动态地选择每个预定义方向的量化级别,以及 基于所选择的量化级别来改善像素。

    Methods for adaptive noise reduction based on global motion estimation
    39.
    发明申请
    Methods for adaptive noise reduction based on global motion estimation 失效
    基于全局运动估计的自适应降噪方法

    公开(公告)号:US20070070250A1

    公开(公告)日:2007-03-29

    申请号:US11236936

    申请日:2005-09-27

    IPC分类号: H04N5/00 H04N5/14

    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。

    Reliability estimation of temporal noise estimation
    40.
    发明申请
    Reliability estimation of temporal noise estimation 失效
    时间噪声估计的可靠性估计

    公开(公告)号:US20060221252A1

    公开(公告)日:2006-10-05

    申请号:US11100369

    申请日:2005-04-05

    IPC分类号: H04N5/14

    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,则将其丢弃,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。