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1. 发明授权

US07783125B2 Multi-resolution processing of digital signals 有权
标题翻译：数字信号的多分辨率处理
公开(公告)号：US07783125B2
公开(公告)日：2010-08-24
申请号：US11174686
申请日：2005-07-05
申请人： Suk Hwan Lim , Ron Maurer , Pavel Kisilev
发明人： Suk Hwan Lim , Ron Maurer , Pavel Kisilev
IPC分类号： G06K9/40
CPC分类号： G06T5/004 , G06T2207/20016
摘要： Representations of an input signal at different lower resolutions are obtained, where n denotes a level of resolution, and where 0≦n≦N. Level n=N corresponds to the representation having the lowest resolution, and level n=0 corresponds to the input signal. The resolution increases as level n decreases. The nth level representation is used to estimate and remove low frequency error in the n−1th level representation. Then application-specific processing is performed on the n−1th level representation.
摘要翻译：获得不同较低分辨率的输入信号的表示，其中n表示分辨率水平，其中0＆nlE; n＆nlE; N。电平n = N对应于具有最低分辨率的表示，电平n = 0对应于输入信号。分辨率随着水平n的下降而增加。第n级表示用于估计和去除第n-1级表示中的低频误差。然后对第n-1级表示执行应用特定处理。

2. 发明申请

US20090034864A1 Multi-scale robust sharpening and contrast enhancement 有权
公开(公告)号：US20090034864A1
公开(公告)日：2009-02-05
申请号：US12079227
申请日：2008-03-24
申请人： Pavel Kisilev , Suk Hwan Lim
发明人： Pavel Kisilev , Suk Hwan Lim
IPC分类号： G06K9/40 , G06T5/00
CPC分类号： G06T5/004 , G06T5/20 , G06T2207/20016
摘要： Embodiments of the present invention employ robust filtering at each of a number of scales, or resolutions, within a signal, such as a still image or video sequence. In certain embodiments of the present invention, robust filtering comprises or includes a non-linear neighborhood operation at each scale in order to produce both a denoised, sharpened and contrast-enhanced signal and a correction signal at each scale. Correction signals and sharpened and contrast-enhanced signals are combined to produce a denoised, sharpened and contrast-enhanced output signal. Scale-appropriate enhancements at each scale or resolution, including denoising, sharpening and contrast enhancement, ameliorate artifacts introduced by re-enhancement, at a second scale or resolution, features previously enhanced at another scale or resolution and inhibit over enhancement.

3. 发明申请

US20080008396A1 Context-aware image processing 有权
标题翻译：上下文感知图像处理
公开(公告)号：US20080008396A1
公开(公告)日：2008-01-10
申请号：US11481346
申请日：2006-07-04
申请人： Pavel Kisilev , Suk Hwan Lim
发明人： Pavel Kisilev , Suk Hwan Lim
IPC分类号： G06K9/64 , G06K9/38
CPC分类号： G06K9/40 , G06K9/4642 , G06T5/002 , G06T2207/20012 , G06T2207/20192
摘要： In one respect, provided are systems, methods and techniques in which local regions within an image are processed to provide fuzzy classification scores, which are calculated by determining changes in pixel values along a number of different directions. The resulting fuzzy classification scores are then used to detect or identify edge-containing or texture-containing regions, or to otherwise process the image regions differentially according to their fuzzy classification score. In another respect, provided are systems, methods and techniques for differential processing of different areas in an image. The differential processing in this case is based on calculated measures of local activity, which indicate features in corresponding local regions, and also based on calculated measures of local pixel-value variations, which indicate an amount of variation in pixel values across the corresponding local regions.
摘要翻译：在一方面，提供了一种系统，方法和技术，其中处理图像内的局部区域以提供模糊分类分数，其通过确定沿多个不同方向的像素值的变化来计算。然后使用所得到的模糊分类分数来检测或识别含边缘或含纹理的区域，或者根据其模糊分类分数以不同方式处理图像区域。在另一方面，提供了用于图像中不同区域的差分处理的系统，方法和技术。在这种情况下的差分处理是基于计算的局部活动度量，其指示对应局部区域中的特征，并且还基于计算的局部像素值变化的度量，其指示跨越相应局部区域的像素值的变化量。

4. 发明授权

US08818109B2 Context-aware image processing 有权
标题翻译：上下文感知图像处理
公开(公告)号：US08818109B2
公开(公告)日：2014-08-26
申请号：US11481346
申请日：2006-07-04
申请人： Pavel Kisilev , Suk Hwan Lim
发明人： Pavel Kisilev , Suk Hwan Lim
IPC分类号： G06K9/64 , G06K9/40 , G06T5/00 , G06K9/46
CPC分类号： G06K9/40 , G06K9/4642 , G06T5/002 , G06T2207/20012 , G06T2207/20192
摘要： In one respect, provided are systems, methods and techniques in which local regions within an image are processed to provide fuzzy classification scores, which are calculated by determining changes in pixel values along a number of different directions. The resulting fuzzy classification scores are then used to detect or identify edge-containing or texture-containing regions, or to otherwise process the image regions differentially according to their fuzzy classification score. In another respect, provided are systems, methods and techniques for differential processing of different areas in an image. The differential processing in this case is based on calculated measures of local activity, which indicate features in corresponding local regions, and also based on calculated measures of local pixel-value variations, which indicate an amount of variation in pixel values across the corresponding local regions.
摘要翻译：在一方面，提供了一种系统，方法和技术，其中处理图像内的局部区域以提供模糊分类分数，其通过确定沿多个不同方向的像素值的变化来计算。然后使用所得到的模糊分类分数来检测或识别含边缘或含纹理的区域，或者根据其模糊分类分数以不同方式处理图像区域。在另一方面，提供了用于图像中不同区域的差分处理的系统，方法和技术。在这种情况下的差分处理是基于计算的局部活动度量，其指示相应局部区域中的特征，并且还基于计算的局部像素值变化的度量，其指示跨越相应局部区域的像素值的变化量。

5. 发明授权

US08238687B1 Local contrast enhancement of images 失效
标题翻译：图像的局部对比度增强
公开(公告)号：US08238687B1
公开(公告)日：2012-08-07
申请号：US12236261
申请日：2008-09-23
申请人： Suk Hwan Lim , Pavel Kisilev
发明人： Suk Hwan Lim , Pavel Kisilev
IPC分类号： G06K9/40
CPC分类号： G06T5/008 , G06T5/002
摘要： A set of local noise variation values characterizing local noise levels in the input image is calculated. Local contrast enhancement is performed on image forming element values derived from the input image to produce a contrast enhanced image. Values of local noise amplification caused by the local contrast enhancement are ascertained. Noise in the contrast enhanced image is reduced based on the set of local noise variation values and the local noise amplification values.
摘要翻译：计算表征输入图像中的局部噪声水平的一组局部噪声变化值。对从输入图像导出的图像形成元素值执行局部对比度增强以产生对比度增强图像。确定由局部对比度增强引起的局部噪声放大值。基于本地噪声变化值和局部噪声放大值的集合，减小对比度增强图像中的噪声。

6. 发明授权

US07643699B2 Image processing based on local noise statistics 失效
标题翻译：基于局部噪声统计的图像处理
公开(公告)号：US07643699B2
公开(公告)日：2010-01-05
申请号：US11174685
申请日：2005-07-05
申请人： Suk Hwan Lim , Pavel Kisilev
发明人： Suk Hwan Lim , Pavel Kisilev
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T5/003 , G06T5/008 , G06T5/20 , G06T2207/20012 , G06T2207/20028 , G06T2207/20192
摘要： Processing of a digital image includes applying a function to a plurality of pixels in the image, the function relating a noise statistic to pixel intensity values. By applying the noise statistic function, a noise statistic value is produced for each of the pixels. Each of the pixels is processed with respect to its noise statistic value.
摘要翻译：数字图像的处理包括将功能应用于图像中的多个像素，该功能将噪声统计量与像素强度值相关联。通过应用噪声统计功能，对于每个像素产生噪声统计值。相对于其噪声统计值处理每个像素。

7. 发明申请

US20090034863A1 Multi-scale robust sharpening and contrast enhancement 审中-公开
标题翻译：多尺度鲁棒锐化和对比度增强
公开(公告)号：US20090034863A1
公开(公告)日：2009-02-05
申请号：US11888395
申请日：2007-07-31
申请人： Pavel Kisilev , Suk Hwan Lim
发明人： Pavel Kisilev , Suk Hwan Lim
IPC分类号： G06K9/40
CPC分类号： G06T5/20 , G06T5/004 , G06T2207/20016
摘要： Embodiments of the present invention employ robust filtering at each of a number of scales, or resolutions, within a signal, such as a still image or video sequence. In certain embodiments of the present invention, robust filtering comprises or includes a non-linear neighborhood operation at each scale in order to produce both a denoised, sharpened and contrast-enhanced signal and a correction signal at each scale. Correction signals and sharpened and contrast-enhanced signals are combined to produce a denoised, sharpened and contrast-enhanced output signal. Scale-appropriate enhancements at each scale or resolution, including denoising, sharpening and contrast enhancement, ameliorate artifacts introduced by re-enhancement, at a second scale or resolution, features previously enhanced at another scale or resolution and inhibit over enhancement.
摘要翻译：本发明的实施例在诸如静止图像或视频序列之类的信号中的多个尺度或分辨率的每一个处采用鲁棒滤波。在本发明的某些实施例中，鲁棒滤波包括或包括每个尺度上的非线性邻域运算，以便产生去噪，锐化和对比度增强的信号以及每个比例的校正信号。校正信号和锐化和对比度增强的信号被组合以产生去噪，锐化和对比度增强的输出信号。在每个尺度或分辨率下进行尺度适应的增强，包括去噪，锐化和对比度增强，通过再次增强，第二尺度或分辨率引入的人为因素，以先前在另一个尺度或分辨率下增强的特征，并抑制过度增强。

8. 发明授权

US08417050B2 Multi-scale robust sharpening and contrast enhancement 有权
公开(公告)号：US08417050B2
公开(公告)日：2013-04-09
申请号：US12079227
申请日：2008-03-24
申请人： Pavel Kisilev , Suk Hwan Lim
发明人： Pavel Kisilev , Suk Hwan Lim
IPC分类号： G06K9/40
CPC分类号： G06T5/004 , G06T5/20 , G06T2207/20016
摘要： Embodiments of the present invention employ robust filtering at each of a number of scales, or resolutions, within a signal, such as a still image or video sequence. In certain embodiments of the present invention, robust filtering comprises or includes a non-linear neighborhood operation at each scale in order to produce both a denoised, sharpened and contrast-enhanced signal and a correction signal at each scale. Correction signals and sharpened and contrast-enhanced signals are combined to produce a denoised, sharpened and contrast-enhanced output signal. Scale-appropriate enhancements at each scale or resolution, including denoising, sharpening and contrast enhancement, ameliorate artifacts introduced by re-enhancement, at a second scale or resolution, features previously enhanced at another scale or resolution and inhibit over enhancement.

9. 发明授权

US08817120B2 Systems and methods for collecting fixed pattern noise statistics of image data 有权
标题翻译：用于收集图像数据固定模式噪声统计的系统和方法
公开(公告)号：US08817120B2
公开(公告)日：2014-08-26
申请号：US13485124
申请日：2012-05-31
申请人： D. Amnon Silverstein , Sheng Lin , Suk Hwan Lim , Guy Cote , Haitao Guo
发明人： D. Amnon Silverstein , Sheng Lin , Suk Hwan Lim , Guy Cote , Haitao Guo
IPC分类号： H04N5/225
CPC分类号： G06T5/005 , H04N5/365
摘要： The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may collect statistics associated with fixed pattern noise of image data by receiving a first frame of the image data comprising a plurality of pixels. The image processing pipeline may then determine a sum of a first plurality of pixel values that correspond to at least a first portion of the plurality of pixels such that each pixel in at least the first portion of the plurality of pixels is disposed along a first axis within the frame of the image data. After determining the sum of the first plurality of pixel values, the image processing pipeline may store the sum of the first plurality of pixel values in a memory such that the sum of the first plurality of pixel values represent the statistics.
摘要翻译：本公开通常涉及用于图像数据处理的系统和方法。在某些实施例中，图像处理流水线可以通过接收包括多个像素的图像数据的第一帧来收集与图像数据的固定模式噪声相关联的统计信息。然后，图像处理流水线可以确定对应于多个像素的至少第一部分的第一多个像素值的和，使得至少第一部分中的每个像素沿着第一轴设置在图像数据的帧内。在确定第一多个像素值的和之后，图像处理流水线可以将第一多个像素值的和存储在存储器中，使得第一多个像素值的和代表统计。

10. 发明授权

US08792728B2 Near-duplicate image detection 有权
标题翻译：近似重复图像检测
公开(公告)号：US08792728B2
公开(公告)日：2014-07-29
申请号：US12891234
申请日：2010-09-27
申请人： Feng Tang , Yuli Gao , Suk Hwan Lim
发明人： Feng Tang , Yuli Gao , Suk Hwan Lim
IPC分类号： G06K9/46
CPC分类号： G06K9/6211 , G06F17/30259
摘要： A system and a method for near-duplicate image detection performed by a physical computing system includes applying a feature determining function to a number of images, a feature being defined by a geometric shape, comparing characteristics of said geometric shapes defining said features from at least two of said number of images, and characterizing said at least two of said number of images as a near-duplicate match if a predetermined percentage of said features of said at least two images match.
摘要翻译：由物理计算系统执行的用于近似重复图像检测的系统和方法包括将特征确定功能应用于多个图像，特征由几何形状定义，将至少定义所述特征的所述几何形状的特征从至少所述数量的图像中的两个，并且如果所述至少两个图像的所述特征的预定百分比匹配，则将所述数量的图像中的至少两个表征为近似重复匹配。

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