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。

公开(公告)号：US08687894B2

公开(公告)日：2014-04-01

申请号：US12905367

申请日：2010-10-15

申请人： Orly Liba ,  Noy Cohen ,  Jeffrey Danowitz

发明人： Orly Liba ,  Noy Cohen ,  Jeffrey Danowitz

IPC分类号： G06K9/48 ,  G06K9/56

CPC分类号： G06T7/44

摘要： In an embodiment, a device comprises a plurality of elements configured to apply a filter to multiple groups of pixels in a neighborhood of pixels surrounding a particular pixel to generate a matrix of filtered values; compute, from the matrix of filtered values, a first set of gradients along a first direction and a second set of gradients along a second and different direction; determine how many directional changes are experienced by the gradients in the first set of gradients and the gradients in the second set of gradients; compute a first weighted value for a first direction and a second weighted value for a second direction; and based, at least in part, upon the first and second weighted values, compute an overall texture characterization value for the particular pixel, wherein the overall texture characterization value indicates a type of image environment in which the particular pixel is located.

摘要翻译： 在一个实施例中，设备包括多个元件，其被配置为将滤波器应用于围绕特定像素的像素周围的多个像素组，以生成滤波值的矩阵; 从滤波值的矩阵中计算沿着第一方向的第一梯度梯度和沿着第二方向和不同方向的第二梯度集合; 确定第一组梯度中的梯度和第二组梯度中的梯度经历了多少方向变化; 计算第一方向的第一加权值和第二方向的第二加权值; 并且至少部分地基于第一和第二加权值来计算特定像素的总体纹理表征值，其中整体纹理表征值指示特定像素所在的图像环境的类型。

公开(公告)号：US20120224784A1

公开(公告)日：2012-09-06

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： G06K9/40

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，使得像素的相对较强的去噪沿边缘或线特征发生。 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。

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：US08582890B2

公开(公告)日：2013-11-12

申请号：US12987759

申请日：2011-01-10

申请人： Orly Liba

发明人： Orly Liba

IPC分类号： G06K9/48 ,  G06K9/56 ,  G06K9/40

CPC分类号： G06T5/003 ,  G06T7/44 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20192

摘要： In an embodiment, a device comprises a plurality of elements, including logical elements, wherein the elements are configured to perform the operations of: in a neighborhood of pixels surrounding and including a particular pixel, applying a filter to multiple groups of pixels in the neighborhood to generate a set of filtered values; generating, based at least in part upon the set of filtered values, one or more sets of gradient values; based at least in part upon the one or more sets of gradient values, computing a first metric for an image environment in which the particular pixel is situated; determining a second metric for the image environment in which the particular pixel is situated, wherein the second metric distinguishes between a detail environment; and based at least in part upon the first metric and the second metric, computing a gradient improvement (GI) metric for the particular pixel.

摘要翻译： 在一个实施例中，设备包括多个元素，包括逻辑元件，其中元件被配置为执行以下操作：在围绕并包括特定像素的像素周围，向邻域中的多组像素应用滤波器 生成一组过滤值; 至少部分地基于所述滤波值集合生成一组或多组梯度值; 至少部分地基于所述一组或多组梯度值，计算特定像素位于其中的图像环境的第一度量; 确定特定像素所在的图像环境的第二度量，其中所述第二度量区分细节环境; 并且至少部分地基于第一度量和第二度量来计算特定像素的梯度改进（GI）度量。

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：US20120093431A1

公开(公告)日：2012-04-19

申请号：US12987759

申请日：2011-01-10

申请人： Orly Liba

发明人： Orly Liba

IPC分类号： G06T5/00

CPC分类号： G06T5/003 ,  G06T7/44 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20192

摘要： In an embodiment, a device comprises a plurality of elements, including logical elements, wherein the elements are configured to perform the operations of: in a neighborhood of pixels surrounding and including a particular pixel, applying a filter to multiple groups of pixels in the neighborhood to generate a set of filtered values; generating, based at least in part upon the set of filtered values, one or more sets of gradient values; based at least in part upon the one or more sets of gradient values, computing a first metric for an image environment in which the particular pixel is situated; determining a second metric for the image environment in which the particular pixel is situated, wherein the second metric distinguishes between a detail environment; and based at least in part upon the first metric and the second metric, computing a gradient improvement (GI) metric for the particular pixel.

摘要翻译： 在一个实施例中，设备包括多个元素，包括逻辑元件，其中元件被配置为执行以下操作：在围绕并包括特定像素的像素周围，向邻域中的多组像素应用滤波器 生成一组过滤值; 至少部分地基于所述滤波值集合生成一组或多组梯度值; 至少部分地基于所述一组或多组梯度值，计算特定像素位于其中的图像环境的第一度量; 确定特定像素所在的图像环境的第二度量，其中所述第二度量区分细节环境; 并且至少部分地基于第一度量和第二度量来计算特定像素的梯度改进（GI）度量。

公开(公告)号：US20120093419A1

公开(公告)日：2012-04-19

申请号：US12905367

申请日：2010-10-15

申请人： Orly Liba ,  Noy Cohen ,  Jeffrey Danowitz

发明人： Orly Liba ,  Noy Cohen ,  Jeffrey Danowitz

IPC分类号： G06K9/48

CPC分类号： G06T7/44

摘要： In an embodiment, a device comprises a plurality of elements configured to apply a filter to multiple groups of pixels in a neighborhood of pixels surrounding a particular pixel to generate a matrix of filtered values; compute, from the matrix of filtered values, a first set of gradients along a first direction and a second set of gradients along a second and different direction; determine how many directional changes are experienced by the gradients in the first set of gradients and the gradients in the second set of gradients; compute a first weighted value for a first direction and a second weighted value for a second direction; and based, at least in part, upon the first and second weighted values, compute an overall texture characterization value for the particular pixel, wherein the overall texture characterization value indicates a type of image environment in which the particular pixel is located.

摘要翻译： 在一个实施例中，设备包括多个元件，其被配置为将滤波器应用于围绕特定像素的像素周围的多个像素组，以生成滤波值的矩阵; 从滤波值的矩阵中计算沿着第一方向的第一梯度梯度和沿着第二方向和不同方向的第二梯度集合; 确定第一组梯度中的梯度和第二组梯度中的梯度经历了多少方向变化; 计算第一方向的第一加权值和第二方向的第二加权值; 并且至少部分地基于第一和第二加权值来计算特定像素的总体纹理表征值，其中整体纹理表征值指示特定像素所在的图像环境的类型。