公开(公告)号：US20120182454A1

公开(公告)日：2012-07-19

申请号：US13007524

申请日：2011-01-14

申请人： Tomer Schwartz ,  Eyal Ben-Eliezer ,  Orly Liba ,  Noy Cohen

发明人： Tomer Schwartz ,  Eyal Ben-Eliezer ,  Orly Liba ,  Noy Cohen

IPC分类号： H04N5/335

CPC分类号： H04N9/045

摘要： A chromatic noise reduction method is provided for removing chromatic noise from the pixels of a mosaic image. In one implementation, an actual chroma value and a de-noised chroma value are derived for the central pixel of a matrix of pixels. Based at least in part upon these chroma values, a final chroma value is derived for the central pixel. The final chroma value is then used, along with the actual luminance of the central pixel, to derive a final de-noised pixel value for the central pixel. By de-noising the central pixel based on its chroma (which takes into account more than one color) rather than on just the color channel of the central pixel, this method allows the central pixel to be de-noised in a more color-coordinated fashion. As a result, improved chromatic noise reduction is achieved.

摘要翻译： 提供了一种用于从马赛克图像的像素中去除彩色噪声的彩色降噪方法。 在一个实现中，针对像素矩阵的中心像素导出实际色度值和去噪色度值。 至少部分地基于这些色度值，为中心像素导出最终的色度值。 然后使用最终色度值以及中心像素的实际亮度来导出中心像素的最终去噪像素值。 通过基于其色度（其考虑多于一种颜色）而不是仅在中心像素的颜色通道上去除中心像素，该方法允许中心像素在更加颜色协调中去噪声 时尚。 结果，实现了改善的色噪声降低。

公开(公告)号：US08488031B2

公开(公告)日：2013-07-16

申请号：US13007524

申请日：2011-01-14

申请人： Tomer Schwartz ,  Eyal Ben-Eliezer ,  Orly Liba ,  Noy Cohen

发明人： Tomer Schwartz ,  Eyal Ben-Eliezer ,  Orly Liba ,  Noy Cohen

IPC分类号： H04N5/335

CPC分类号： H04N9/045

摘要： A chromatic noise reduction method is provided for removing chromatic noise from the pixels of a mosaic image. In one implementation, an actual chroma value and a de-noised chroma value are derived for the central pixel of a matrix of pixels. Based at least in part upon these chroma values, a final chroma value is derived for the central pixel. The final chroma value is then used, along with the actual luminance of the central pixel, to derive a final de-noised pixel value for the central pixel. By de-noising the central pixel based on its chroma (which takes into account more than one color) rather than on just the color channel of the central pixel, this method allows the central pixel to be de-noised in a more color-coordinated fashion. As a result, improved chromatic noise reduction is achieved.

摘要翻译： 提供了一种用于从马赛克图像的像素中去除彩色噪声的彩色降噪方法。 在一个实现中，针对像素矩阵的中心像素导出实际色度值和去噪色度值。 至少部分地基于这些色度值，为中心像素导出最终的色度值。 然后使用最终色度值以及中心像素的实际亮度来导出中心像素的最终去噪像素值。 通过基于其色度（其考虑多于一种颜色）而不是仅在中心像素的颜色通道上去除中心像素，该方法允许中心像素在更加颜色协调中被去噪声 时尚。 结果，实现了改善的色噪声降低。

公开(公告)号：US08953058B2

公开(公告)日：2015-02-10

申请号：US13172717

申请日：2011-06-29

申请人： Eyal Ben-Eliezer ,  Tomer Schwartz ,  Ehpraim Goldenberg ,  Noy Cohen

发明人： Eyal Ben-Eliezer ,  Tomer Schwartz ,  Ehpraim Goldenberg ,  Noy Cohen

IPC分类号： H04N5/228 ,  H04N5/232 ,  H04N5/217 ,  H04N9/64 ,  H04N3/14 ,  H04N9/04

CPC分类号： H04N9/045

摘要： A 9 pixel-by-9 pixel working window slides over an input Bayer image. For each such window, a demosaicing operation is performed. For each such window, corrective processing is performed relative to that window to produce relative differences for that window. For each such window for which relative differences have been produced, those relative differences are regulated. For each window, a maximum is found for that window's regulated relative differences; in one embodiment of the invention, this maximum is used to select which channel is sharp. For each window, the colors in that window are corrected based on the relative difference-based maximum found for that window. For each window, edge oversharpening is softened in order to avoid artifacts in the output image. The result is an output image in which axial chromatic aberrations have been corrected.

摘要翻译： 9像素×9像素工作窗口在输入拜耳图像上滑动。 对于每个这样的窗口，执行去马赛克操作。 对于每个这样的窗口，相对于该窗口执行校正处理以产生该窗口的相对差异。 对于已经产生相对差异的每个这样的窗口，这些相对差异是有规定的。 对于每个窗口，找到该窗口的受限相对差异的最大值; 在本发明的一个实施例中，该最大值用于选择哪个通道是锋利的。 对于每个窗口，该窗口中的颜色将根据该窗口的相对差异最大值进行更正。 对于每个窗口，边缘过敏软化，以避免输出图像中的伪影。 结果是已经校正轴向色差的输出图像。

公开(公告)号：US08355039B2

公开(公告)日：2013-01-15

申请号：US12883192

申请日：2010-09-16

申请人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

发明人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

IPC分类号： H04M11/00

CPC分类号： H04N5/272 ,  H04L12/1827 ,  H04N5/23235 ,  H04N7/147 ,  H04N7/15

摘要： Different distances of two or more objects in a scene being captured in a video conference are determined by determining a sharpest of two or more color channels and calculating distances based on the determining of the sharpest of the two or more color channels. At least one of the objects is identified as a foreground object or a background object, or one or more of each, based on the determining of the different distances. The technique involves blurring or otherwise rendering unclear at least one background object or one or more portions of the scene other than the at least one foreground object, or combinations thereof, also based on the determining of distances.

摘要翻译： 通过确定最清晰的两个或更多个颜色通道并基于确定两个或更多个颜色通道中最清晰的距离来确定在视频会议中捕获的场景中的两个或更多个对象的不同距离。 基于确定不同的距离，将至少一个对象识别为前景对象或背景对象，或每个对象中的一个或多个。 该技术还基于距离的确定来模糊或以其他方式渲染不清楚的至少一个背景物体或场景的一个或多个部分，而不是至少一个前景物体，或其组合。

公开(公告)号：US20120007940A1

公开(公告)日：2012-01-12

申请号：US12883192

申请日：2010-09-16

申请人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

发明人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

IPC分类号： H04N7/15

CPC分类号： H04N5/272 ,  H04L12/1827 ,  H04N5/23235 ,  H04N7/147 ,  H04N7/15

摘要： Different distances of two or more objects in a scene being captured in a video conference are determined by determining a sharpest of two or more color channels and calculating distances based on the determining of the sharpest of the two or more color channels. At least one of the objects is identified as a foreground object or a background object, or one or more of each, based on the determining of the different distances. The technique involves blurring or otherwise rendering unclear at least one background object or one or more portions of the scene other than the at least one foreground object, or combinations thereof, also based on the determining of distances.

摘要翻译： 通过确定最清晰的两个或更多个颜色通道并基于确定两个或更多个颜色通道中最清晰的距离来确定在视频会议中捕获的场景中的两个或更多个对象的不同距离。 基于确定不同的距离，将至少一个对象识别为前景对象或背景对象，或每个对象中的一个或多个。 该技术还基于距离的确定来模糊或以其他方式渲染不清楚的至少一个背景物体或场景的一个或多个部分，而不是至少一个前景物体，或其组合。

公开(公告)号：US08723912B2

公开(公告)日：2014-05-13

申请号：US12883191

申请日：2010-09-16

申请人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

发明人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

IPC分类号： H04N7/14

CPC分类号： H04N5/272 ,  H04L12/1827 ,  H04N5/23235 ,  H04N7/147 ,  H04N7/15

摘要： Different distances of two or more objects in a scene being captured in a video conference are determined based on applying a face model to a detected face within a digitally-acquired image. At least one portion of the scene other than the face is identified as comprising a background object that is a different distance from the video camera component than the face. The technique involves blurring or otherwise rendering unclear the background object.

摘要翻译： 通过将脸部模型应用于数字获取的图像内的检测到的脸部来确定在视频会议中捕获的场景中的两个或多个对象的不同距离。 除了脸部之外的场景的至少一部分被识别为包括与摄像机部件不同于距脸部的不同距离的背景物体。 该技术涉及模糊或以其他方式呈现背景对象不清楚。

公开(公告)号：US08363085B2

公开(公告)日：2013-01-29

申请号：US12883183

申请日：2010-09-16

申请人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

发明人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

IPC分类号： H04M11/00

CPC分类号： H04N5/272 ,  H04L12/1827 ,  H04N5/23235 ,  H04N7/147 ,  H04N7/15

摘要： Different distances of two or more objects in a scene being captured in a video conference are determined using an auto-focus sweep of the scene. A depth map of the scene is generated based on the auto-focus sweep. At least one of the objects is identified as a foreground object or a background object, or one or more of each, based on the determining of the different distances. The technique involves blurring or otherwise rendering unclear at least one background object or one or more portions of the scene other than the at least one foreground object, or combinations thereof, also based on the determining of distances.

摘要翻译： 使用场景的自动对焦扫描来确定在视频会议中捕获的场景中的两个或更多对象的不同距离。 基于自动对焦扫描生成场景的深度图。 基于确定不同的距离，将至少一个对象识别为前景对象或背景对象，或每个对象中的一个或多个。 该技术还基于距离的确定来模糊或以其他方式渲染不清楚的至少一个背景物体或场景的一个或多个部分，而不是至少一个前景物体，或其组合。

公开(公告)号：US20120007942A1

公开(公告)日：2012-01-12

申请号：US12883183

申请日：2010-09-16

申请人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

发明人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

IPC分类号： H04N7/14

CPC分类号： H04N5/272 ,  H04L12/1827 ,  H04N5/23235 ,  H04N7/147 ,  H04N7/15

摘要： Different distances of two or more objects in a scene being captured in a video conference are determined using an auto-focus sweep of the scene. A depth map of the scene is generated based on the auto-focus sweep. At least one of the objects is identified as a foreground object or a background object, or one or more of each, based on the determining of the different distances. The technique involves blurring or otherwise rendering unclear at least one background object or one or more portions of the scene other than the at least one foreground object, or combinations thereof, also based on the determining of distances.

摘要翻译： 使用场景的自动对焦扫描来确定在视频会议中捕获的场景中的两个或更多对象的不同距离。 基于自动对焦扫描生成场景的深度图。 基于确定不同的距离，将至少一个对象识别为前景对象或背景对象，或每个对象中的一个或多个。 该技术还基于距离的确定来模糊或以其他方式渲染不清楚的至少一个背景物体或场景的一个或多个部分，而不是至少一个前景物体，或其组合。

公开(公告)号：US20120007939A1

公开(公告)日：2012-01-12

申请号：US12883191

申请日：2010-09-16

申请人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

发明人： Guy Michrowski ,  Gal Shabtay ,  Noy Cohen ,  Eyal Ben-Eliezer ,  Ephraim Goldenberg

IPC分类号： H04N7/15

CPC分类号： H04N5/272 ,  H04L12/1827 ,  H04N5/23235 ,  H04N7/147 ,  H04N7/15

摘要： Different distances of two or more objects in a scene being captured in a video conference are determined based on applying a face model to a detected face within a digitally-acquired image. At least one portion of the scene other than the face is identified as comprising a background object that is a different distance from the video camera component than the face. The technique involves blurring or otherwise rendering unclear the background object.

摘要翻译： 通过将脸部模型应用于数字获取的图像内的检测到的脸部来确定在视频会议中捕获的场景中的两个或多个对象的不同距离。 除了脸部之外的场景的至少一部分被识别为包括与摄像机部件不同于距脸部的不同距离的背景物体。 该技术涉及模糊或以其他方式呈现背景对象不清楚。

公开(公告)号：US08879841B2

公开(公告)日：2014-11-04

申请号：US13038094

申请日：2011-03-01

申请人： Noy Cohen ,  Jeffrey Danowitz ,  Orly Liba

发明人： Noy Cohen ,  Jeffrey Danowitz ,  Orly Liba

IPC分类号： G06K9/00 ,  G06T5/00

CPC分类号： G06T5/002 ,  G06T2207/20192

摘要： In accordance with an embodiment of the invention, an anisotropic denoising method is provided that removes sensor noise from a digital image while retaining edges, lines, and details in the image. In one embodiment, the method removes noise from a pixel of interest based on the detected type of image environment in which the pixel is situated. If the pixel is situated in an edge/line image environment, then denoising of the pixel is increased such that relatively stronger denoising of the pixel occurs along the edge or line feature. If the pixel is situated in a detail image environment, then denoising of the pixel is decreased such that relatively less denoising of the pixel occurs so as to preserve the details in the image. In one embodiment, detection of the type of image environment is accomplished by performing simple arithmetic operations using only pixels in a 9 pixel by 9 pixel matrix of pixels in which the pixel of interest is situated. As a result, improved image environment sensitive noise reduction is achieved that requires a relatively low gate count in hardware implementations.

摘要翻译： 根据本发明的实施例，提供了一种各向异性去噪方法，其从数字图像中去除传感器噪声，同时保留图像中的边缘，线和细节。 在一个实施例中，该方法基于所检测到的像素所在的图像环境的类型来从感兴趣的像素中去除噪声。 如果像素位于边缘/线图像环境中，则增加像素的去噪，使得像素沿着边缘或线特征发生相对较强的去噪。 如果像素位于细节图像环境中，则减小像素的去噪，使得像素的去噪相对较少，以便保留图像中的细节。 在一个实施例中，通过仅使用感兴趣像素所在的像素的9像素×9像素矩阵中的像素执行简单的算术运算来实现对图像环境的类型的检测。 结果，实现了改进的图像环境敏感的降噪，其在硬件实现中需要较低的门计数。