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1. 发明申请

US20140219579A1 APPLYING RAPID NUMERICAL APPROXIMATION OF CONVOLUTIONS WITH FILTERS FOR IMAGE PROCESSING PURPOSES 有权
标题翻译：适用于图像处理过滤器的转换的快速数值逼近
公开(公告)号：US20140219579A1
公开(公告)日：2014-08-07
申请号：US14128966
申请日：2012-06-27
申请人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
发明人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
IPC分类号： G06T3/40
CPC分类号： G06T3/4084 , G06F17/15 , G06T5/20
摘要： A computer implemented method for A computer implemented method for applying a numerical approximation of a convolution of image I as represented by hierarchical signals al of level l with filter f, said method including the steps of: generating a forward transformation by applying a convolution between al and kernel h1 for each level of hierarchy l and by down-sampling the result of convolved al and h1; generating a backward transformation by applying, for each level of hierarchy l, a convolution between kernel h2 and an up-sampled forward transformation and combining the result with a convolution of al with kernel g; and combining the forward transformation with the backward transformation, to yield â0 being an approximation of a convolution between a and f, wherein kernels h1, h1, and g are optimized kernels of filter f.
摘要翻译：一种用于A计算机实现的方法的计算机实现方法，用于对具有滤波器f的级别l的分层信号a1表示的图像I的卷积进行数值近似，所述方法包括以下步骤：通过应用al之间的卷积来生成正向变换对于每个层次l的内核h1和通过对采用卷积的al和h1的结果进行下采样; 通过对每个级别l应用内核h2和上采样正向变换之间的卷积，并将结果与al与卷积g相结合，产生反向变换; 并将前向变换与反向变换相结合，得到α是a和f之间的卷积近似值，其中，内核h1，h1和g是滤波器f的优化内核。

2. 发明授权

US09361663B2 Applying rapid numerical approximation of convolutions with filters for image processing purposes 有权
标题翻译：应用快速数值近似的滤波器进行图像处理
公开(公告)号：US09361663B2
公开(公告)日：2016-06-07
申请号：US14128966
申请日：2012-06-27
申请人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
发明人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
IPC分类号： G06K9/64 , G06T3/40 , G06F17/15 , G06T5/20
CPC分类号： G06T3/4084 , G06F17/15 , G06T5/20
摘要： A computer implemented method for applying a numerical approximation of a convolution of image I as represented by hierarchical signals al of level l with filter f, said method including the steps of: generating a forward transformation by applying a convolution between al and kernel h1 for each level of hierarchy l and by down-sampling the result of convolved al and h1; generating a backward transformation by applying, for each level of hierarchy l, a convolution between kernel h2 and an up-sampled forward transformation and combining the result with a convolution of al with kernel g; and combining the forward transformation with the backward transformation, to yield â0 being an approximation of a convolution between a and f, wherein kernels h1, h1, and g are optimized kernels of filter f.
摘要翻译：一种计算机实现的方法，用于应用图像I的卷积的数值近似，其由级别l的分层信号a1表示为具有滤波器f，所述方法包括以下步骤：通过对于每个，通过应用al和内核h1之间的卷积来生成正向变换层次l的层次，并通过对采用卷积al和h1的结果进行下采样; 通过对每个级别l应用内核h2和上采样正向变换之间的卷积，并将结果与al与卷积g相结合，产生反向变换; 并将前向变换与反向变换相结合，得到α是a和f之间的卷积近似值，其中，内核h1，h1和g是滤波器f的优化内核。

3. 发明申请

US20140300767A1 TONAL STABILIZATION OF VIDEO 有权
标题翻译：视频的统一稳定
公开(公告)号：US20140300767A1
公开(公告)日：2014-10-09
申请号：US14112254
申请日：2012-04-18
申请人： Daniel Lischinski , Zeev Farbman
发明人： Daniel Lischinski , Zeev Farbman
IPC分类号： H04N5/232
CPC分类号： H04N5/23232 , G06T5/002 , G06T2207/10016 , G06T2207/20012 , G06T2207/20028 , G06T2207/20182 , H04N9/735
摘要： A method of tonally stabilizing a video sequence is provided herein. The method includes the following stages: automatically selecting one or more anchor frames from a sequence of frames; obtaining an anchor adjustment map for each selected anchor frame; applying an edge-preserving smoothing algorithm to the sequence of frames; generating for any given pair of smoothed frames, a robust set of pixels indicating pixels affected by external tonal fluctuation only; initializing an adjustment map for any given frame by applying the anchor adjustment map to accumulated color differences between pixels of the robust set of the given frame and the anchor frame; and completing the initialized adjustment map by predicting values of pixels in each adjustment map not included in the robust set by applying an interpolation at a color space for these pixels, wherein the adjustment maps are usable for tonally aligning the video sequence with the anchor frame.
摘要翻译：本文提供了一种稳定视频序列的方法。该方法包括以下阶段：从帧序列自动选择一个或多个锚帧; 获得每个选定的锚帧的锚点调整图; 对帧序列应用边缘保持平滑算法; 生成任何给定的平滑帧对，表示仅受外部音调波动影响的像素的鲁棒的像素集合; 通过将锚定调整图应用于给定帧的鲁棒集合的像素与锚帧之间的累积色差来初始化任何给定帧的调整图; 以及通过在这些像素的颜色空间上应用内插来预测不包括在鲁棒组中的每个调整图中的像素的值来完成初始化的调整图，其中调整图可用于将视频序列与锚帧进行对齐。

4. 发明授权

US09100570B2 Tonal stabilization of video 有权
标题翻译：视频的音调稳定
公开(公告)号：US09100570B2
公开(公告)日：2015-08-04
申请号：US14112254
申请日：2012-04-18
申请人： Daniel Lischinski , Zeev Farbman
发明人： Daniel Lischinski , Zeev Farbman
IPC分类号： H04N5/232 , G06T5/00
CPC分类号： H04N5/23232 , G06T5/002 , G06T2207/10016 , G06T2207/20012 , G06T2207/20028 , G06T2207/20182 , H04N9/735
摘要： A method of tonally stabilizing a video sequence is provided herein. The method includes the following stages: automatically selecting one or more anchor frames from a sequence of frames; obtaining an anchor adjustment map for each selected anchor frame; applying an edge-preserving smoothing algorithm to the sequence of frames; generating for any given pair of smoothed frames, a robust set of pixels indicating pixels affected by external tonal fluctuation only; initializing an adjustment map for any given frame by applying the anchor adjustment map to accumulated color differences between pixels of the robust set of the given frame and the anchor frame; and completing the initialized adjustment map by predicting values of pixels in each adjustment map not included in the robust set by applying an interpolation at a color space for these pixels, wherein the adjustment maps are usable for tonally aligning the video sequence with the anchor frame.
摘要翻译：本文提供了一种稳定视频序列的方法。该方法包括以下阶段：从帧序列自动选择一个或多个锚帧; 获得每个选定的锚帧的锚点调整图; 对帧序列应用边缘保持平滑算法; 生成任何给定的平滑帧对，表示仅受外部音调波动影响的像素的鲁棒的像素集合; 通过将锚定调整图应用于给定帧的鲁棒集合的像素与锚帧之间的累积色差来初始化任何给定帧的调整图; 以及通过在这些像素的颜色空间上应用内插来预测不包括在鲁棒组中的每个调整图中的像素的值来完成初始化的调整图，其中调整图可用于将视频序列与锚帧进行对齐。

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