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    • 153. 发明授权
    • Detection of progressive pulldown in a video sequence
    • 在视频序列中检测渐进下拉
    • US08077257B2
    • 2011-12-13
    • US11766705
    • 2007-06-21
    • Zhi ZhouYeong-Taeg Kim
    • Zhi ZhouYeong-Taeg Kim
    • H04N7/01H04N5/46
    • H04N7/0115
    • 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.
    • 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。
    • 157. 发明授权
    • Method and apparatus for shoot suppression in image detail enhancement
    • 图像细节增强中拍摄抑制的方法和装置
    • US07813587B2
    • 2010-10-12
    • US11799230
    • 2007-04-30
    • Xianglin WangYeong-Taeg Kim
    • Xianglin WangYeong-Taeg Kim
    • G06K9/40
    • G06T5/004G06T5/20H04N1/4092
    • A general shoot suppression method and system for image detail enhancement that provides good suppression in shoot areas while preserving the enhancement (with less or no suppression) in non-shoot areas. Asymmetry checker checks the luminance variation of pixels around the current pixel within a filtering range. Based on the checking result, different patterns of luminance variation in the neighborhood of the current pixel are categorized. Higher suppression is applied to those patterns that are more likely to cause overshoot/undershoot. Optionally, suppression is further associated with the intensity of detail signal at each pixel position. An intensity checker checks the magnitude of the detail signal. If the detail signal is weak at a current pixel position, it is unlikely that obvious shoot artifacts appear at that position, and little or no suppression is applied. Such a method and system provide shoot suppression only in shoot areas while maintaining good enhancement in non-shoot areas.
    • 用于图像细节增强的通用拍摄抑制方法和系统,其在拍摄区域中提供良好的抑制,同时在非拍摄区域中保持增强(具有较少或不抑制)。 不对称检查器检查滤波范围内当前像素周围的像素的亮度变化。 基于检查结果,对当前像素附近的亮度变化的不同图案进行分类。 对更可能引起过冲/下冲的模式应用较高的抑制。 可选地,抑制还与每个像素位置处的细节信号的强度相关联。 强度检查器检查细节信号的大小。 如果细节信号在当前像素位置较弱,则不太可能在该位置出现明显的伪像,并且很少或不施加抑制。 这种方法和系统仅在拍摄区域中提供拍摄抑制,同时保持非拍摄区域的良好增强。
    • 158. 发明授权
    • Methods to estimate noise variance from a video sequence
    • 从视频序列估计噪声方差的方法
    • US07715645B2
    • 2010-05-11
    • US10991265
    • 2004-11-17
    • Zhi ZhouYeong-Taeg Kim
    • Zhi ZhouYeong-Taeg Kim
    • G06K9/36
    • H04N5/21
    • 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.
    • 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。
    • 159. 发明申请
    • SYSTEM AND METHOD FOR REDUCING VISIBLE HALO IN DIGITAL VIDEO WITH DUAL MOTION ESTIMATION
    • 用于在双动态估计数字视频中减少可见HALO的系统和方法
    • US20100045856A1
    • 2010-02-25
    • US12195291
    • 2008-08-20
    • Mahesh B. ChappalliYeong Taeg Kim
    • Mahesh B. ChappalliYeong Taeg Kim
    • H04N7/01
    • H04N7/014H04N5/145
    • Embodiments include systems and methods for interpolating frames. In one embodiment, a system and method provides reduced halo and consequently a higher degree of accuracy/fidelity. In one embodiment, a method of video frame interpolation includes receiving forward and backward motion estimation data based on a first video frame and a second, subsequent, video frame. Each block in a plurality of blocks of pixels in an intermediate frame between the first and second frames is classified according to measures of covering and uncovering associated with the forward and backward motion estimation data. A block to be constructed is estimated based on the classification results of proximal ones of the plurality of blocks to the block to be constructed.
    • 实施例包括用于内插帧的系统和方法。 在一个实施例中,系统和方法提供减少的晕圈,从而提供更高的准确度/保真度。 在一个实施例中,视频帧插值方法包括基于第一视频帧和第二后续视频帧接收前向和后向运动估计数据。 根据与前向和后向运动估计数据相关联的覆盖和发现的测量来对第一和第二帧之间的中间帧中的多个像素块中的每个块进行分类。 基于要构造的块的多个块中的近端块的分类结果来估计要构造的块。
    • 160. 发明授权
    • Method and apparatus for reducing mosquito noise in decoded video sequence
    • 解码视频序列中减少蚊子噪音的方法和装置
    • US07657098B2
    • 2010-02-02
    • US11121819
    • 2005-05-02
    • Peng LinYeong-Taeg KimSeong-Joo Lee
    • Peng LinYeong-Taeg KimSeong-Joo Lee
    • G06K9/48
    • H04N19/86H04N19/117H04N19/14H04N19/17H04N19/60H04N19/80
    • A ringing area detector classifies the input image into two regions: a mosquito noise region (i.e. filtering region) and a non-mosquito noise region (i.e. non-filtering region), and uses this classification information to adaptively remove the mosquito noise in a mosquito noise reduction system. The mosquito noise reduction system includes a ringing area detector, a local noise power estimator, a smoothing filter, and a mixer. The ringing area detector includes an edge detector, a near edge detector, a texture detector, and a filtering region decision block. The ringing detection block detects the ringing area where the smoothing filter is to be applied. The local noise power estimator controls the filter strength of the smoothing filter. The smoothing filter smoothes the input image. The mixer mixes the smoothed image and the original image properly based on the region information from the ringing area detection block.
    • 振铃区域检测器将输入图像分为两个区域:蚊子噪声区域(即滤波区域)和非蚊子区域(即非滤波区域),并使用该分类信息自适应地消除蚊子中的蚊子噪声 降噪系统 蚊式降噪系统包括振铃区域检测器,局部噪声功率估计器,平滑滤波器和混频器。 振铃区域检测器包括边缘检测器,近边缘检测器,纹理检测器和滤波区域判定块。 振铃检测块检测要应用平滑滤波器的振铃区域。 本地噪声功率估计器控制平滑滤波器的滤波器强度。 平滑滤波器平滑输入图像。 混合器根据来自振铃区域检测块的区域信息正确地混合平滑图像和原始图像。