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11. 发明申请

US20140086486A1 ADJUSTING THE SHARPNESS OF A DIGITAL IMAGE 有权
标题翻译：调整数字图像的锐度
公开(公告)号：US20140086486A1
公开(公告)日：2014-03-27
申请号：US13623927
申请日：2012-09-21
申请人： Bruce Harold Pillman , Wei Hao
发明人： Bruce Harold Pillman , Wei Hao
IPC分类号： G06K9/34
CPC分类号： G06T5/003 , G06T7/194 , G06T2207/20012
摘要： The sharpness of a digital image is adjusted according to defined aim subject and background sharpness levels. An image segmentation process is used to segment an input digital image into a subject region and a background region. The subject and background regions are analyzed to determine corresponding subject and background sharpness levels. An enhanced digital image is formed wherein the sharpness of the subject region is adjusted responsive to the subject sharpness level and the aim subject sharpness level, and the sharpness of the background region is adjusted responsive to the background sharpness level and the aim background sharpness level. In some embodiments, the input digital image is analyzed to determined a scene type classification and the aim subject and background sharpness levels are defined in accordance with the determined scene type classification.
摘要翻译：根据定义的目标对象和背景清晰度水平来调整数字图像的清晰度。使用图像分割处理将输入数字图像分割成对象区域和背景区域。分析主题和背景区域以确定相应的对象和背景清晰度水平。形成增强的数字图像，其中响应于被摄体清晰度水平和目标对象清晰度水平来调节对象区域的锐度，并且响应于背景清晰度水平和目标背景清晰度水平来调整背景区域的清晰度。在一些实施例中，分析输入数字图像以确定场景类型分类，并且根据确定的场景类型分类来定义目标对象和背景清晰度水平。

12. 发明申请

US20110216210A1 PROVIDING IMPROVED HIGH RESOLUTION IMAGE 有权
标题翻译：提供改进的高分辨率图像
公开(公告)号：US20110216210A1
公开(公告)日：2011-09-08
申请号：US12716484
申请日：2010-03-03
申请人： Wei Hao
发明人： Wei Hao
IPC分类号： H04N5/228
CPC分类号： H04N5/23248 , G06T3/4053
摘要： A method for producing an improved high resolution image is disclosed including capturing low resolution images and a high resolution image; combining the low resolution images to provide an aggregate low resolution image; reducing the resolution of the high resolution image and then interpolated to produce a blurred high resolution image; calculating an image difference map using the aggregate high resolution image and blurred high resolution image; and using the image difference map along with the aggregate high resolution image and the high resolution image to produce an improved high resolution image.
摘要翻译：公开了一种用于制造改进的高分辨率图像的方法，包括捕获低分辨率图像和高分辨率图像; 组合低分辨率图像以提供聚合低分辨率图像; 降低高分辨率图像的分辨率，然后内插以产生模糊的高分辨率图像; 使用聚合高分辨率图像和模糊高分辨率图像计算图像差异图; 并且使用图像差异图与聚合高分辨率图像和高分辨率图像一起产生改进的高分辨率图像。

13. 发明授权

US08897560B2 Determining the estimated clutter of digital images 有权
标题翻译：确定数字图像的估计杂波
公开(公告)号：US08897560B2
公开(公告)日：2014-11-25
申请号：US13624986
申请日：2012-09-24
申请人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
发明人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.
摘要翻译：一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。通过分析输入数字图像来确定一组图像特征来确定不等式指数。图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。通过分析输入数字图像来确定与输入数字图像的空间结构或语义内容相关的一组场景内容特征。响应于不等式指数和场景内容特征确定估计的杂波。

14. 发明申请

US20140085507A1 CONTROLLING THE SHARPNESS OF A DIGITAL IMAGE 有权
标题翻译：控制数字图像的锐度
公开(公告)号：US20140085507A1
公开(公告)日：2014-03-27
申请号：US13623934
申请日：2012-09-21
申请人： Bruce Harold Pillman , Wei Hao
发明人： Bruce Harold Pillman , Wei Hao
IPC分类号： G06K9/34 , H04N5/76
CPC分类号： G06T7/0002 , G06K9/036 , G06T5/004 , G06T2207/10024 , G06T2207/20032 , G06T2207/20212 , G06T2207/30168 , H04N5/23222 , H04N5/23232 , H04N5/2356 , H04N5/243
摘要： A method for selecting a digital image having controlled sharpness characteristics from a set of candidate digital images of a common scene, each digital image having different sharpness characteristics. An image segmentation process is used to segment each of the candidate digital images into a subject region and a background region. For each candidate digital image the subject and background regions are analyzed to determine an associated subject and background sharpness levels. An output digital image is selected by comparing the determined subject and background sharpness levels to respective aim subject and background sharpness levels. In some embodiments, the aim subject and background sharpness levels are defined in accordance with a scene type classification.
摘要翻译：一种从公共场景的候选数字图像的集合中选择具有可控锐度特性的数字图像的方法，每个数字图像具有不同的锐度特性。使用图像分割处理将每个候选数字图像分割成主题区域和背景区域。对于每个候选数字图像，分析主题和背景区域以确定相关联的对象和背景清晰度水平。通过将确定的对象和背景清晰度水平与相应的目标对象和背景清晰度水平进行比较来选择输出数字图像。在一些实施例中，根据场景类型分类来定义目标对象和背景清晰度水平。

15. 发明授权

US08179445B2 Providing improved high resolution image 有权
标题翻译：提供改进的高分辨率图像
公开(公告)号：US08179445B2
公开(公告)日：2012-05-15
申请号：US12716484
申请日：2010-03-03
申请人： Wei Hao
发明人： Wei Hao
IPC分类号： H04N5/228 , G06K9/32
CPC分类号： H04N5/23248 , G06T3/4053
摘要： A method for producing an improved high resolution image is disclosed including capturing low resolution images and a high resolution image; combining the low resolution images to provide an aggregate low resolution image; reducing the resolution of the high resolution image and then interpolated to produce a blurred high resolution image; calculating an image difference map using the aggregate high resolution image and blurred high resolution image; and using the image difference map along with the aggregate high resolution image and the high resolution image to produce an improved high resolution image.
摘要翻译：公开了一种用于制造改进的高分辨率图像的方法，包括捕获低分辨率图像和高分辨率图像; 组合低分辨率图像以提供聚合低分辨率图像; 降低高分辨率图像的分辨率，然后内插以产生模糊的高分辨率图像; 使用聚合高分辨率图像和模糊高分辨率图像计算图像差异图; 并且使用图像差异图与聚合高分辨率图像和高分辨率图像一起产生改进的高分辨率图像。

16. 发明授权

US07242668B2 Network monitoring system responsive to changes in packet arrival variance and mean 有权
标题翻译：响应于分组到达方差和平均值的变化的网络监控系统
公开(公告)号：US07242668B2
公开(公告)日：2007-07-10
申请号：US10412127
申请日：2003-04-11
申请人： Chao Kan , Aziz Mohammed , Wei Hao , Jimin Shi
发明人： Chao Kan , Aziz Mohammed , Wei Hao , Jimin Shi
IPC分类号： G01R31/08
CPC分类号： H04L47/10 , H04L41/5009 , H04L43/00 , H04L43/022 , H04L43/087 , H04L43/0888 , H04L43/16 , H04L45/38 , H04L45/70 , H04L47/11 , H04L47/20 , H04L47/29
摘要： A network monitoring system (10) for monitoring a network along which network traffic flows in a form of packets. The system comprises circuitry (36, 42) for receiving a packet communicated along the network and for determining whether the received packet satisfies a set of conditions. The system further comprises circuitry (36/30, 46), responsive to a determination that the received packet satisfies the set, for determining a measure, wherein the measure is determined over a defined time interval and comprises a ratio of packet arrival variance and a mean of packets arriving during the time interval and for comparing the measure to a threshold. Lastly, the system comprises circuitry (36, 52), responsive to the measure exceeding the threshold, for adjusting network resources.
摘要翻译：一种网络监视系统（10），用于监视网络流量以分组的形式流过的网络。该系统包括用于接收沿着网络传送的分组并用于确定所接收的分组是否满足一组条件的电路（36,42）。该系统还包括电路（36/30,46），响应于确定所接收到的分组满足该组，用于确定测量，其中在一定义的时间间隔内确定测量，并且包括分组到达方差和在时间间隔期间到达的分组的意思，并将测量与阈值进行比较。最后，系统包括响应于超过阈值的度量的电路（36,52），用于调整网络资源。

17. 发明授权

US09182629B2 LED backlight source drive circuit, LED backlight source and liquid crystal display device 有权
标题翻译： LED背光源驱动电路，LED背光源和液晶显示装置
公开(公告)号：US09182629B2
公开(公告)日：2015-11-10
申请号：US13809867
申请日：2011-12-31
申请人： Wei Hao , Xiaoguang Xin , Hongbo Chi , Zhenhua Pang
发明人： Wei Hao , Xiaoguang Xin , Hongbo Chi , Zhenhua Pang
IPC分类号： G02F1/1335 , G09G3/34 , H05B37/02 , H05B33/08 , G09G3/36
CPC分类号： G02F1/133603 , G09G3/3406 , G09G3/36 , G09G2330/02 , H05B33/0821 , H05B33/0827 , H05B33/086 , H05B37/02
摘要： An LED backlight source drive circuit, an LED backlight source and a liquid crystal display device are provided. LED backlight source drive circuit includes a voltage input terminal, a coupling module, and a rectifier module. The coupling module is connected to the voltage input terminal for receiving a current complying with a total working voltage of two power consumption modules from the voltage input terminal, and converting the current into a current complying with a working voltage of one power consumption module. The rectifier module is connected to the coupling module for inputting the current complying with the working voltage of one power consumption module into two serially-connected power consumption modules, thereby supplying power to the power consumption modules. The LED backlight source and the liquid crystal display device include two power consumption modules and the above LED backlight source drive circuit.
摘要翻译：提供LED背光源驱动电路，LED背光源和液晶显示装置。 LED背光源驱动电路包括电压输入端子，耦合模块和整流模块。耦合模块连接到电压输入端子，用于从电压输入端子接收符合两个功耗模块的总工作电压的电流，并将电流转换为符合一个功耗模块工作电压的电流。整流器模块连接到耦合模块，用于将符合一个功耗模块的工作电压的电流输入到两个串联的功耗模块中，从而向功耗模块供电。 LED背光源和液晶显示装置包括两个功耗模块和上述LED背光源驱动电路。

18. 发明授权

US08731291B2 Estimating the clutter of digital images 有权
标题翻译：估计数字图像的杂乱
公开(公告)号：US08731291B2
公开(公告)日：2014-05-20
申请号：US13624985
申请日：2012-09-24
申请人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
发明人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
IPC分类号： G06K9/00
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by partitioning the input digital image into small sub-images and analyzing the sub-images to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. The inequality index is compared to a predefined threshold to classify the input digital image as a rich-content image or a low-content image. For rich-content images, the estimated clutter level is determined responsive to a set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. For low-content images, the estimated clutter level is determined responsive to an overall luminance level.
摘要翻译：一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。通过将输入的数字图像分割成小的子图像并分析子图像来确定一组图像特征来确定不等式索引。图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。将不等式指数与预定阈值进行比较，以将输入数字图像分类为富内容图像或低内容图像。对于富含内容的图像，响应于与输入数字图像的空间结构或语义内容相关的一组场景内容特征来确定估计的杂波水平，通过分析输入的数字图像来确定。对于低内容图像，估计的杂波电平是根据整体亮度水平确定的。

19. 发明申请

US20140086495A1 DETERMINING THE ESTIMATED CLUTTER OF DIGITAL IMAGES 有权
标题翻译：确定数字图像的估计转折
公开(公告)号：US20140086495A1
公开(公告)日：2014-03-27
申请号：US13624986
申请日：2012-09-24
申请人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
发明人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
IPC分类号： G06K9/68
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.
摘要翻译：一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。通过分析输入数字图像来确定一组图像特征来确定不等式指数。图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。通过分析输入数字图像来确定与输入数字图像的空间结构或语义内容相关的一组场景内容特征。响应于不等式指数和场景内容特征确定估计的杂波。

20. 发明申请

US20140086487A1 ESTIMATING THE CLUTTER OF DIGITAL IMAGES 有权
标题翻译：估计数字图像的转换
公开(公告)号：US20140086487A1
公开(公告)日：2014-03-27
申请号：US13624985
申请日：2012-09-24
申请人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
发明人： Wei Hao , Alexander C. Loui , Cathleen D. Cerosaletti
IPC分类号： G06K9/62
CPC分类号： G06K9/00664
摘要： A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by partitioning the input digital image into small sub-images and analyzing the sub-images to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. The inequality index is compared to a predefined threshold to classify the input digital image as a rich-content image or a low-content image. For rich-content images, the estimated clutter level is determined responsive to a set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. For low-content images, the estimated clutter level is determined responsive to an overall luminance level.
摘要翻译：一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。通过将输入的数字图像分割成小的子图像并分析子图像来确定一组图像特征来确定不等式索引。图像特征与一组指定的参考特征相关联，并且基于参考特征的统计变化来确定不等式指数。将不等式指数与预定阈值进行比较，以将输入数字图像分类为富内容图像或低内容图像。对于富含内容的图像，响应于与输入数字图像的空间结构或语义内容相关的一组场景内容特征来确定估计的杂波水平，通过分析输入的数字图像来确定。对于低内容图像，估计的杂波电平是根据整体亮度水平确定的。

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