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ADAPTIVE METHOD FOR SPACE-TIME FILTERING Anisotropic Bilateral VIDEO

机译:时空滤波各向异性双边视频的自适应方法

摘要

1. method of adaptive space-time u0430u043du0438u0437u043eu0442u0440u043eu043fu043du043eu0439 bilateral filtering of video signals, in which the u0434u043bu00a0 each (current) u043fu0438u043au0441u0435u043bu00a0 u0438u0437u043eu0431u0440u0430u0436u0435u043du0438u00a0 u0432u044bu043fu043eu043bu043du00a0u044e t the following operations:;in the current u043fu0438u043au0441u0435u043bu00a0 around the first area u0441u043eu0441u0442u043eu00a0u0449u0443u044e from current u043fu0438u043au0441u0435u043bu00a0 and several nearby neighboring pixels u0438u0437u043eu0431u0440u0430u0436u0435u043du0438u00a0;;choose two lines, one of which is horizontally and vertically (u0433u043eu0440u0438u0437u043eu043du0442u0430u043bu044cu043du0430u00a0 u043bu0438u043du0438u00a0) u0434u0440u0443u0433u0430u00a0 (u0432u0435u0440u0442u0438u043au0430u043bu044cu043du0430u00a0 u043bu0438u043du0438u00a0) through the current pixel and the pixel area and the current u043fu0438u043au0441u0435u043bu00a0;;u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 horizontal gradient along the horizontal lines of the current u043fu0438u043au0441u0435u043bu00a0 as the difference between the u043fu0438u043au0441u0435u043bu0435u043c located to the left of the current u043fu0438u043au0441u0435u043bu00a0 and p u0438u043au0441u0435u043bu0435u043c located to the right of the current u043fu0438u043au0441u0435u043bu00a0;;u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 vertical gradient along the vertical line of the current u043fu0438u043au0441u0435u043bu00a0 as the difference between the u043fu0438u043au0441u0435u043bu0435u043c located on top of the current u043fu0438u043au0441u0435u043bu00a0 and peaks u0435u043bu0435u043c located below the current u043fu0438u043au0441u0435u043bu00a0;;u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 u043au043eu0440u0440u0435u043bu00a0u0446u0438u043eu043du043du0443u044e matrix u0434u043bu00a0 horizontal gradient and vertical gradients of the current u043fu0438u043au0441u0435u043bu00a0, and also own the vectors l, s and u0441u043eu0431u0441u0442u0432u0435u043du043du044b e values (l, s u043au043eu0440u0440u0435u043bu00a0u0446u0438u043eu043du043du043eu0439 matrix;;u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 force edge contours _ power formula;where n is the number of the case sensitivity to the contour of the object in the image.;the contour of the object in the image u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 direction as the angle between its own vector s u043au043eu0440u0440u0435u043bu00a0u0446u0438u043eu043du043du043eu0439 matrix with smaller amounts of their own values and mr. u043eu0440u0438u0437u043eu043du0442u0430u043bu044cu043du043eu0439 line;;u0434u043bu00a0 each frame of the number of neighboring frames, u0432u043au043bu044eu0447u0430u00a0 current frame, choose around u043fu0438u043au0441u0435u043bu00a0, the current u043fu0438u043au0441u0435u043bu044e, search area, u0441u043eu0441u0442u043eu00a0u0449u0443 yu from the current u043fu0438u043au0441u0435u043bu00a0 and nearest neighbouring pixels u0438u0437u043eu0431u0440u0430u0436u0435u043du0438u00a0;;u0432u044bu0447u0438u0441u043bu00a0u044eu0442 weighting factors of the filter by u0441u0440u0430u0432u043du0435u043du0438u00a0 first area (window size of the kk) in the current frame with the same size in the field u043eu0431u043bu0430u0441u0442u00a0u043cu0438 search the window size of the nn) in the current and neighboring personnel;;counting rates of adaptation of temporal and u0431u0438u043bu0430u0442u0435u0440u0430u043bu044cu043du043eu0433u043e filters for power circuits, and the adaptation of t, the temporary filter to the power circuit at u044bu0447u0438u0441u043bu00a0u044eu0442 formula, etc. u00a0u0432u043bu00a0u0435u0442u0441u00a0 adjustable parameter and rate adaptation (r u0431u0438u043bu0430u0442u0435u0440u0430u043bu044cu043du043eu0433u043e filter to the energy contour of u0432u044bu0447u0438u0441u043bu00a0u044eu0442 formula, where kb is r u0435u0433u0443u043bu0438u0440u0443u0435u043cu044bu0439 parameter;;u0432u044bu043fu043eu043bu043du00a0u044eu0442 filtering in time by u043du0430u0445u043eu0436u0434u0435u043du0438u00a0 weighted sum of pixels, which u043du0430u0445u043eu0434u00a0u0442u0441u00a0 for prospecting in the current and neighboring hr, and the result u0444u0438u043bu044cu0442u0440u0430u0446 and u0441u043eu0445u0440u0430u043du00a0u044eu0442 in variable out _ pixelT;;u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 second area as the area of the u043fu0438u043au0441u0435u043bu00a0, in which the current u043fu0438u043au0441u0435u043bu044e value out _ pixelT;;u0440u0430u0437u0434u0435u043bu00a0u044eu0442 second area in the two u043du0430u043fu0440u0430u0432u043bu0435u043du0438u00a0 subarea along first and second subarea.;u0432u044bu043fu043eu043bu043du00a0u044eu0442 bilateral filtering u0434u043bu00a0 first and second subarea according to the following formula;where is the intensity of the point with index i,;ip is the intensity of the point u0434u043bu00a0 which u0432u044bu043fu043eu043bu043du00a0u0435u0442u0441u00a0 u0444u0438u043bu044cu0442u0440u0430u0446u0438u00a0, as well as h (spatial) use u00a0u0434u0440u043e low-frequency filter;;u0432u044bu0447u0438u0441u043bu00a0u044eu0442 bilateral filtering result as weighted summation results of filtering the first and second subarea.;u0432u044bu043fu043eu043bu043du00a0u044eu0442 approximation of the u043fu0438u043au0441u0435u043bu00a0 u043fu0438u043au0441u0435u043bu00a0u043cu0438 located along the u043du0430u043fu0440u0430u0432u043bu0435u043du0438u00a0 contour, with an average u0430u043fu043fu0440u043eu043au0441u0438u043cu0430u0446u0438u00a0 u043fu0440u0435u0434u0441u0442u0430u0432u043bu00a0u0435u0442 adjacent to the current u043fu0438u043au0441u0435u043bu044e pixels located along the contour.;u0432u044bu0447u0438u0441u043bu00a0u044eu0442 final result as the weighting sum of bilateral filtering and approximation along the contour.;2. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the u0434u043bu00a0 u0441u0440u0430u0432u043du0435u043du0438u00a0 areas of pixels using the measure;where inp1 (xn, yn, tn) refers to the pixel of the current frame xn tn coordinates and yn,;inp2 (p, s, tn + (r) denotes the pixel from the frame tn + r coordinates of r and s, the index (i u0438u0437u043cu0435u043du00a0u0435u0442u0441u00a0 ranging from to in the horizontal direction.;the index j u0438u0437u043cu0435u043du00a0u0435u0442u0441u00a0 ranging from to in the vertical direction.;3. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that a filter u0432u044bu043fu043eu043bu043du00a0u044eu0442 as follows;,;where denotes the pixel from the image coordinates xn tn + r + r and yn + s;the index r u0438u0437u043cu0435u043du00a0u0435u0442u0441u00a0 ranging from to in the horizontal direction.;the index's u0438u0437u043cu0435u043du00a0u0435u0442u0441u00a0 ranging from to in the vertical direction.;the index r u0438u0437u043cu0435u043du00a0u0435u0442u0441u00a0 ranging from to in time domain.;t is the number of neighbouring frames used u0434u043bu00a0 temporal filtering, w (p, s, r) - weight u043fu0438u043au0441u0435u043bu00a0 inp2 (xn + p, yn + s, tn + (r), which u0432u044bu0447u0438u0441u043bu00a0u044eu0442 as;t is the adaptation of the filter to the power circuit, the u043du043eu0440u043cu0438u0440u043eu0432u043eu0447u043du044bu0439 multiplier u0432u044bu0447u0438u0441u043bu00a0u044eu0442 formula;.;4. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the u0432u044bu0447u0438u0441u043bu00a0u044eu0442 result bilateral filtering through the weighted summation of the first and second u043fu043eu0434u043eu0431u043bu0430u0441u0442 filtering and, like,;where bil _ pixel denoting the result of adaptive u0431u0438u043bu0430u0442u0435u0440u0430u043bu044cu043du043eu0433u043e spatial filter;filt _ pixel1 denotes the result of first subarea.;filt _ pixel2 denotes the result of second subarea.;w1 weight result filtering first subarea u0432u044bu0447u0438u0441u043bu00a0u044eu0442 as follows;w2 weight result filtering second subarea u0432u044bu0447u0438u0441u043bu00a0u044eu0442 similarly as w1;where the sum is the sum of _ grad1 gradient, calculated along the contour of the first subarea, sum _ grad2 is the gradient, calculated along the path by the second u043fu043eu0434u043eu0431u043bu0430u0441 ti.;5. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the final result as u0432u044bu0447u0438u0441u043bu00a0u044eu0442;filt _ pixel = wbil _ pixel + (1 - (w) int _ pixel.;where th is the threshold that u043eu043fu0440u0435u0434u0435u043bu00a0u0435u0442u0441u00a0 by u043eu0431u0443u0447u0435u043du0438u00a0 algorithm, bil _ pixel denoting the result of bilateral filtering, int _ pixel denoting the result of ams u0440u043eu043au0441u0438u043cu0430u0446u0438u0438 current u043fu0438u043au0441u0435u043bu00a0 along the contour, filt _ pixel refers to the final result.
机译:1.对视频信号进行双向滤波的自适应空时方法 u0430 u043d u0438 u0437 u043e u0442 u0440 u043e u043f u043d u043e u0439 ) u043f u0438 u043a u0441 u0435 u043b u00a0 u0438 u0437 u043e u0431 u0440 u0430 u0436 u0435 u043d u0438 u00a0 u0432 u043b u043f u043e u043b u00a0 u044e t的以下操作:;在当前的 u043f u0438 u043a u0441 u0435 u043b u00b0中,从当前位置开始的第一个区域 u0441 u043e u0441 u0441 u0442 u043e u00a0 u0449 u0443 u044e u043f u0438 u043a u0441 u0435 u043b u00a0和附近的几个相邻像素 u0438 u0437 u043e u0431 u0440 u0430 u0436 u0435 u043d u0438 u00a0;选择两行,其中之一是水平和垂直( u0433 u043e u0440 u0438 u0437 u043e u043d u0442 u0430 u043b u044c u043d u0430 u00a0 u043b u0438 u043d u043d u0438 u00a0) u0434 u0440 u0440 u4 u0433 u0430 u00a0( u0432 u0435 u0440 u0442 u0438 u043a u0430 u043b u044c u043d u0430 u00a0 u043b u0438 u043d u043d u0438 u00a0沿当前方向粗略绘制当前像素和像素区域以及当前 u043f u0438 u043a u0441 u0435 u043b u043b u00a0 ;; u043e u043f u0440 u0435 u0434 u0434 u0435 u043b u00b0当前 u043f u0438 u043a u0441 u0435 u043b u00a0的水平线,是位于当前 u043f左侧的 u043f u0438 u043a u0431 u0431 u0435 u043b u0435 u043c之间的差异 u0438 u043a u0441 u0435 u043b u00a0和p u0438 u043a u0441 u0435 u043b u0435 u043c位于当前 u043f u0438 u043a u043a u0441 u0435 u043b u00a0; ; u043e u043f u0440 u0435 u0434 u0435 u043b u00a0 u044e u0442沿当前 u043f u0438 u043a u0441 u0435 u043b u00a0的垂直线的垂直坡度为 u043f u0438 u043a u0441 u0435 u043b u0435 u043c位于当前 u043f u0438 u043a u0441 u0435 u043b u00a0的顶部,而峰 u0435 u043b u0435 u043c位于当前 u u043f u0438 u043a u0441 u0435 u043b u00a0 ;; u043e u043f u0440 u0435 u0 434 u0435 u043b u00a0 u044e u0442 u043a u043e u0440 u0440 u0435 u043b u00a0 u0446 u0438 u043e u043d u043d u0443 u044e矩阵 u0434 u043b u003b u0040当前 u043f u0438 u043a u0441 u0435 u043b u00a0的渐变,并且还拥有向量l,s和 u0441 u043e u0431 u0431 u0441 u0442 u0432 u0435 u043d u043d u043d u044d (l,s u043a u043e u0440 u0440 u0435 u043b u00a0 u0446 u0438 u043e u043d u043d u043e u0439矩阵;; u043e u043f u04f u0440 u0435 u0434 u0435 u043b u00a0 u044e u0442力边缘轮廓_幂公式;其中n是对图像中对象轮廓的区分大小写的数量。;图像中对象的轮廓 u043e u043f u0440 u0435 u0434 u0435 u043b u00a0 u044e u0442方向作为其自身向量s之间的角度 u043a u043e u0440 u0440 u0435 u043b u00a0 u0446 u0438 u043e u043d u043d u043d u043d u043e u0439矩阵自己的价值和先生的数量。 u043e u0440 u0438 u0437 u043e u043d u0442 u0430 u043b u044c u043d u043e u0439行;; u0434 u043b u00a0每帧相邻帧的数量, u0432 u043a u043b u044e u0447 u0430 u00a0当前帧,在 u043f u0438 u043a u0441 u0431 u0435 u043b u00a0,当前 u043f u0438 u043a u0441 u0435 u043b u043b u044e,搜索区域, u0441 u043e u0441 u0442 u043e u00a0 u0449 u0443从当前 u043f u0438 u043a u0441 u0435 u043b u00a0和最近的相邻像素 u0438 u0437 u043e u043e u0431 u0440 u0430 u0436 u0435 u043d u0438 u00a0 ;; u0432 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442通过 u0441 u0440 u0430 u04330 u0432 u043d u0435 u043d u0438的滤波器加权因子 u00a0当前帧中第一个区域(kk的窗口大小)与字段 u043e u0431 u043b u0430 u0441 u0442 u00a0 u043c u0438中的大小相同。现有人员和邻近人员;;计算时间和 u0431 u0438 u043b u0430 u0442 u0435 u0440的适应率 u0430 u043b u044c u043d u043e u0433 u043e适用于电源电路的滤波器,以及将t(临时滤波器)适配到 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442的公式等等。 u00a0 u0432 u043b u00a0 u0435 u0442 u0441 u00a0可调参数和速率自适应(r u0431 u0438 u043b u0430 u0442 u0435 u0440 u0430 u0430 u043b u044c u043d u043e u0433 u043e过滤到 u0432 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442的能量轮廓,其中kb是r u0435 u0433 u0443 u043b u043b u0438 u0440 u0443 u0435 u043c u044b u0439参数;; u0432 u044b u043f u043e u043b u043d u00a0 u044e u0442通过 u043d u0430 u0445 u043e u0436 u0434 u0434 u0435 u043d u0438 u00a0像素的加权总和,其中 u043d u0430 u0445 u043e u0434 u00a0 u0442 u0441 u00a0用于在当前和附近的hr中进行勘探,结果 u0444 u0438 u043b u044c u0442 u0440 u0430 u0446和 u0441 u043e u0445 u0440 u0430 u043d u00a0 u044e u0442输入变量out _ pixelT ;;; u043e u043f u0440 u0435 u0434 u0435 u043b u00a0 u044e u0442第二个区域作为 u043f u0438 u043a u0441 u0435 u043b u00b0的区域,其中当前 u043f u0438 u043a u0441 u0435 u043b u044e值_ _pixelT ;; u0440 u0430 u0437 u0434 u0435 u043b u00a0 u044e u0442在两个 u043d u0430 u043f u043f u0440 u0430 u0432 u043b 沿第一个和第二个子区域的u0435 u043d u0438 u00a0子区域。; u0432 u044b u043f u043e u043b u043d u00a0 u044e u0442双向过滤 u0434 u043b u0040的第一和第二子区域;其中索引i的点的强度; ip是点 u0434 u043b u00a0的强度,其中 u0432 u044b u043f u043e u043b u043d u00a0 u0435 u0442 u0441 u00a0 u0444 u0438 u043b u044c u0442 u0440 u0430 u0446 u0438 u00a0以及h(空间)使用 u00a0 u0434 u0440 u043e l低频滤波器;; u0432 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442双边滤波结果是对第一个和第二个子区域进行滤波的加权求和结果。; u0432 u044b u043b u043f u043e u043b u043d u00a0 u044e u0442沿 u043d沿 u043d u00a0 u0435 u0435 u043b u00a0 u043f u0438 u043a u043a u0441 u0435 u043b u043b u00a0 u043c u0438的近似值 u043f u0440 u0430 u0432 u043b u0435 u043d u0438 u00a0轮廓,平均 u0430 u043f u043f u0440 u043e u043a u0441 u0438 u043c u0430 u0446 u0438 u00a0 ; u043f u0440 u0435 u0434 u0441 u0442 u0430 u0432 u043b u00a0 u0435 u0442与沿轮廓线定位的当前 u043f u0438 u043a u0441 u0435 u043b u044e像素相邻。 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442最终结果是沿轮廓的双边滤波和近似的加权和。 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 1的方法,因此 u0434 u043b u00a0 u0441 u0440 u0440 u0430 u0432 u043d u0435 u043d u0438 u00a0使用度量的像素区域;其中inp1(xn,yn,tn)表示当前帧xn tn坐标和yn的像素; inp2(p,s,tn +(r)表示像素从r和s的帧tn + r坐标开始,索引(i u0438 u0437 u043c u0435 u043d u00a0 u0435 u0442 u0441 u00a0在水平方向上的范围为; u0437 u043c u0435 u043d u00a0 u0435 u0442 u0441 u00a0在垂直方向上范围从到;; 3。 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 1,因此滤镜如下:,其中表示来自图像坐标xn tn + r + r和yn的像素+ s;索引r u0438 u0437 u043c u0435 u043d u00a0 u0435 u0442 u0441 u00a0在水平方向上范围从到。 u0438 u0437 u043c u0435 u043d u00a0 u0435 u0442 u0441 u00a0在垂直方向上的范围为;索引r u0438 u0437 u043c u0435 u043d u00a0 u0435 u0442 u0441 u是时域的范围,从到t.t是所使用的相邻帧的数量 u0434 u043b u00a0时间滤波,w(p,s,r)-权重 u043f u0438 u043a u0441 u0435 u043b u00a0 inp2(xn + p,yn + s,tn +(r),其中 u0432 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442为; t是滤波器对电源电路的适配, u043d u043e u0440 u043c u0438 u0440 u043e u0432 u043e u0447 u043d u044b u0439乘数 u0432 u044b u0447 u0438 u0441 u0431 u043b u00a0 u044e u0442公式;; 4。 。 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 1的方法,这样 u0432 u044b u0447 u0438 u0441 u0441 u043b u00a0 u044e u0442结果通过对第一和第二 u043f u043e u0434 u043e u0431 u043b u0430 u0441 u0442进行加权求和来进行双边滤波,其中bil _像素表示自适应 u0431 u0438 u043b的结果 u0430 u0442 u0435 u0440 u0430 u043b u044c u043d u043e u0433 u043e空间滤波器; filt _ pixel1表示第一个子区域的结果; filt _ pixel2表示第二个子区域的结果; w1权重结果。如下过滤第一个分区 u0432 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442; w2权重结果过滤第二个分区 u0432 u044b u0447 u0438 u0441 u0441 u043b u00a0 u044e u0442类似w1;其中和是沿第一个子区域的轮廓计算的_ grad1梯度的总和,和_ grad2是由第二个 u043f u043e u0434 u043e u0431 u043b u0430沿路径计算的梯度 u0441 ti。; 5。 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0 1的方法,因此最终结果为 u0432 u044b u0447 u0438 u0441 u043b u00a0 u044e u0442;滤波器_像素= wbil _像素+(1-(w)整数_像素。;其中th是 u043e u043f u0440 u0435 u0434 u0435 u043b u00a0 u0435 u0442 u0441的阈值 u043e u0431 u0443 u0447 u0435 u043d u0438 u00a0算法的 u00a0,bil _像素表示双向滤波的结果,int _像素,表示沿着轮廓的ams u0440 u043e u043a u0441 u0438 u043c u0430 u0446 u0438 u0438当前 u043f u0438 u043a u0441 u0435 u0435 u043b u00a0的结果,过滤_像素代表最终结果。

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