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1. 发明授权

US08639050B2 Dynamic adjustment of noise filter strengths for use with dynamic range enhancement of images 有权
标题翻译：噪声滤波器强度的动态调整，用于图像的动态范围增强
公开(公告)号：US08639050B2
公开(公告)日：2014-01-28
申请号：US13276896
申请日：2011-10-19
申请人： Shalini Gupta , Rajesh Narasimha , Aziz Umit Batur
发明人： Shalini Gupta , Rajesh Narasimha , Aziz Umit Batur
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T5/007 , G06T2207/20004 , G06T2207/20012
摘要： Dynamic adjustment of noise filter strengths for use with dynamic range enhancement of images is performed to produce better quality images by adapting dynamically to the image noise profile. Global and local brightness and contrast enhancement (GLBCE) is performed on a digital image to form an enhanced image. The GLBCE applies local gain values to the digital image based on local intensity values. A GLBCE gain versus intensity curve is determined for the enhanced image. A set of noise filter thresholds is adjusted in response to the GLBCE gain versus intensity curve to form a set of dynamically adjusted noise filter thresholds. The enhanced image is noise filtered using the set of dynamically adjusted noise filter thresholds to form a noise filtered enhanced image.
摘要翻译：执行用于图像的动态范围增强的噪声滤波器强度的动态调整，以通过动态地适应图像噪声分布来产生更好质量的图像。在数字图像上执行全局和局部亮度和对比度增强（GLBCE）以形成增强图像。 GLBCE根据局部强度值将局部增益值应用于数字图像。确定增强图像的GLBCE增益对强度曲线。响应于GLBCE增益对强度曲线来调整一组噪声滤波器阈值以形成一组动态调整的噪声滤波器阈值。增强图像使用一组动态调整的噪声滤波器阈值进行噪声滤波，以形成噪声滤波增强图像。

2. 发明申请

US20120093433A1 Dynamic Adjustment of Noise Filter Strengths for use with Dynamic Range Enhancement of Images 有权
标题翻译：用于动态范围增强图像的噪声滤波器强度的动态调整
公开(公告)号：US20120093433A1
公开(公告)日：2012-04-19
申请号：US13276896
申请日：2011-10-19
申请人： Shalini Gupta , Rajesh Narasimha , Aziz Umit Batur
发明人： Shalini Gupta , Rajesh Narasimha , Aziz Umit Batur
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T5/007 , G06T2207/20004 , G06T2207/20012
摘要： Dynamic adjustment of noise filter strengths for use with dynamic range enhancement of images is performed to produce better quality images by adapting dynamically to the image noise profile. Global and local brightness and contrast enhancement (GLBCE) is performed on a digital image to form an enhanced image. The GLBCE applies local gain values to the digital image based on local intensity values. A GLBCE gain versus intensity curve is determined for the enhanced image. A set of noise filter thresholds is adjusted in response to the GLBCE gain versus intensity curve to form a set of dynamically adjusted noise filter thresholds. The enhanced image is noise filtered using the set of dynamically adjusted noise filter thresholds to form a noise filtered enhanced image.
摘要翻译：执行用于图像的动态范围增强的噪声滤波器强度的动态调整，以通过动态地适应图像噪声分布来产生更好质量的图像。在数字图像上执行全局和局部亮度和对比度增强（GLBCE）以形成增强图像。 GLBCE根据局部强度值将局部增益值应用于数字图像。确定增强图像的GLBCE增益对强度曲线。响应于GLBCE增益对强度曲线来调整一组噪声滤波器阈值以形成一组动态调整的噪声滤波器阈值。增强图像使用一组动态调整的噪声滤波器阈值进行噪声滤波，以形成噪声滤波增强图像。

3. 发明申请

US20100066842A1 METHOD AND APPARATUS FOR PRODUCING SHARP FRAMES WITH LESS BLUR 有权
标题翻译：用于生产无绒毛的夏普框架的方法和装置
公开(公告)号：US20100066842A1
公开(公告)日：2010-03-18
申请号：US12558070
申请日：2009-09-11
申请人： Rajesh Narasimha , Aziz Umit Batur
发明人： Rajesh Narasimha , Aziz Umit Batur
IPC分类号： H04N5/228
CPC分类号： H04N5/2352
摘要： A method and apparatus motion triggered image stabilization. The method includes computing projection vector for at least a portion of a frame of an image using horizontal and vertical sums, performing motion estimation utilizing projection vector with the shift of the projection vector from a previous frame, performing temporal IIR filter on the motion vector, calculating the maximum horizontal and vertical motion vectors, obtaining exposure time based on the horizontal and vertical motion vectors and the gain, returning the exposure time and the gain to the auto-exposure, utilizing the returned exposure time and gain, and producing a frame with less motion blur.
摘要翻译：一种方法和装置运动触发图像稳定。该方法包括使用水平和垂直和来计算图像的帧的至少一部分的投影向量，利用投影向量与来自前一帧的移动来执行运动估计，对运动矢量执行时间IIR滤波，计算最大水平和垂直运动矢量，利用返回的曝光时间和增益，基于水平和垂直运动矢量和增益获得曝光时间，将曝光时间和增益返回到自动曝光，并产生具有少运动模糊。

4. 发明申请

US20120051625A1 Method and Apparatus for 2D to 3D Conversion Using Scene Classification and Face Detection 有权
标题翻译：使用场景分类和人脸检测的2D到3D转换的方法和装置
公开(公告)号：US20120051625A1
公开(公告)日：2012-03-01
申请号：US13215833
申请日：2011-08-23
申请人： Vikram Appia , Rajesh Narasimha , Aziz Umit Batur
发明人： Vikram Appia , Rajesh Narasimha , Aziz Umit Batur
IPC分类号： G06K9/34
CPC分类号： G06T7/194 , G06T7/529 , G06T2207/10004 , H04N13/261
摘要： A method and apparatus for converting a two dimensional image or video to three dimensional image or video. The method includes segmenting objects in at least one of a two dimensional image and video, performing, in the digital processor, a depth map generation based on low-level features, performing face detection and scene classification on at least one of a two dimensional image and video, and utilizing the face detection and scene classification in enhancing the depth map and for converting the at least one of a two dimensional image and video to three dimensional image and video.
摘要翻译：一种用于将二维图像或视频转换为三维图像或视频的方法和装置。该方法包括在二维图像和视频中的至少一个中分割对象，在数字处理器中执行基于低级特征的深度图生成，在二维图像中的至少一个上执行面部检测和场景分类和视频，并且利用面部检测和场景分类来增强深度图并将二维图像和视频中的至少一个转换为三维图像和视频。

5. 发明授权

US09055227B2 Scene adaptive brightness/contrast enhancement 有权
标题翻译：场景自适应亮度/对比度增强
公开(公告)号：US09055227B2
公开(公告)日：2015-06-09
申请号：US13049609
申请日：2011-03-16
申请人： Aziz Umit Batur , Rajesh Narasimha
发明人： Aziz Umit Batur , Rajesh Narasimha
IPC分类号： G06K9/62 , H04N5/235 , H04N5/217 , H04N5/232 , G06T5/00
CPC分类号： G06T5/40 , G06T5/002 , G06T5/009 , G06T2207/10004 , G06T2207/20021 , G06T2207/20081 , H04N5/217 , H04N5/23229 , H04N5/2351
摘要： A method for brightness and contrast enhancement includes computing a luminance histogram of a digital image, computing first distances from the luminance histogram to a plurality of predetermined luminance histograms, estimating first control point values for a global tone mapping curve from predetermined control point values corresponding to a subset of the predetermined luminance histograms selected based on the computed first distances, and interpolating the estimated control point values to determine the global tone mapping curve. The method may also include dividing the digital image into a plurality of image blocks, and enhancing each pixel in the digital image by computing second distances from a pixel in an image block to the centers of neighboring image blocks, and computing an enhanced pixel value based on the computed second distances, predetermined control point values corresponding to the neighboring image blocks, and the global tone mapping curve.
摘要翻译：一种用于亮度和对比度增强的方法包括计算数字图像的亮度直方图，计算从亮度直方图到多个预定亮度直方图的第一距离，从与对应的预定控制点值相对应的全局色调映射曲线估计第一控制点值基于所计算的第一距离选择的预定亮度直方图的子集，以及内插估计的控制点值以确定全局色调映射曲线。该方法还可以包括将数字图像划分成多个图像块，并且通过计算从图像块中的像素到相邻图像块的中心的第二距离来增强数字图像中的每个像素，并且基于在计算出的第二距离上，对应于相邻图像块的预定控制点值和全局色调映射曲线。

6. 发明授权

US08718356B2 Method and apparatus for 2D to 3D conversion using scene classification and face detection 有权
标题翻译：使用场景分类和面部检测的2D到3D转换的方法和装置
公开(公告)号：US08718356B2
公开(公告)日：2014-05-06
申请号：US13215833
申请日：2011-08-23
申请人： Vikram Appia , Rajesh Narasimha , Aziz Umit Batur
发明人： Vikram Appia , Rajesh Narasimha , Aziz Umit Batur
IPC分类号： G06K9/00
CPC分类号： G06T7/194 , G06T7/529 , G06T2207/10004 , H04N13/261
摘要： A method and apparatus for converting a two dimensional image or video to three dimensional image or video. The method includes segmenting objects in at least one of a two dimensional image and video, performing, in the digital processor, a depth map generation based on low-level features, performing face detection and scene classification on at least one of a two dimensional image and video, and utilizing face detection and scene classification in enhancing the depth map and for converting the at least one of a two dimensional image and video to three dimensional image and video.
摘要翻译：一种用于将二维图像或视频转换为三维图像或视频的方法和装置。该方法包括在二维图像和视频中的至少一个中分割对象，在数字处理器中执行基于低级特征的深度图生成，在二维图像中的至少一个上执行面部检测和场景分类并且利用人脸检测和场景分类来增强深度图并将二维图像和视频中的至少一个转换为三维图像和视频。

7. 发明申请

US20110229019A1 Scene Adaptive Brightness/Contrast Enhancement 有权
标题翻译：场景自适应亮度/对比度增强
公开(公告)号：US20110229019A1
公开(公告)日：2011-09-22
申请号：US13049609
申请日：2011-03-16
申请人： Aziz Umit Batur , Rajesh Narasimha
发明人： Aziz Umit Batur , Rajesh Narasimha
IPC分类号： G06K9/62 , G06K9/00 , G06K9/34
CPC分类号： G06T5/40 , G06T5/002 , G06T5/009 , G06T2207/10004 , G06T2207/20021 , G06T2207/20081 , H04N5/217 , H04N5/23229 , H04N5/2351
摘要： A method for brightness and contrast enhancement includes computing a luminance histogram of a digital image, computing first distances from the luminance histogram to a plurality of predetermined luminance histograms, estimating first control point values for a global tone mapping curve from predetermined control point values corresponding to a subset of the predetermined luminance histograms selected based on the computed first distances, and interpolating the estimated control point values to determine the global tone mapping curve. The method may also include dividing the digital image into a plurality of image blocks, and enhancing each pixel in the digital image by computing second distances from a pixel in an image block to the centers of neighboring image blocks, and computing an enhanced pixel value based on the computed second distances, predetermined control point values corresponding to the neighboring image blocks, and the global tone mapping curve.
摘要翻译：一种用于亮度和对比度增强的方法包括计算数字图像的亮度直方图，计算从亮度直方图到多个预定亮度直方图的第一距离，从与对应的预定控制点值相对应的全局色调映射曲线估计第一控制点值基于所计算的第一距离选择的预定亮度直方图的子集，以及内插估计的控制点值以确定全局色调映射曲线。该方法还可以包括将数字图像划分成多个图像块，并且通过计算从图像块中的像素到相邻图像块的中心的第二距离来增强数字图像中的每个像素，并且基于在计算出的第二距离上，对应于相邻图像块的预定控制点值和全局色调映射曲线。

8. 发明授权

US08194141B2 Method and apparatus for producing sharp frames with less blur 有权
标题翻译：用于产生较少模糊的尖锐框架的方法和装置
公开(公告)号：US08194141B2
公开(公告)日：2012-06-05
申请号：US12558070
申请日：2009-09-11
申请人： Rajesh Narasimha , Aziz Umit Batur
发明人： Rajesh Narasimha , Aziz Umit Batur
IPC分类号： H04N5/228
CPC分类号： H04N5/2352
摘要： A method and apparatus motion triggered image stabilization. The method includes computing projection vector for at least a portion of a frame of an image using horizontal and vertical sums, performing motion estimation utilizing projection vector with the shift of the projection vector from a previous frame, performing temporal IIR filter on the motion vector, calculating the maximum horizontal and vertical motion vectors, obtaining exposure time based on the horizontal and vertical motion vectors and the gain, returning the exposure time and the gain to the auto-exposure, utilizing the returned exposure time and gain, and producing a frame with less motion blur.
摘要翻译：一种方法和装置运动触发图像稳定。该方法包括使用水平和垂直和来计算图像的帧的至少一部分的投影向量，利用投影向量与来自前一帧的移动来执行运动估计，对运动矢量执行时间IIR滤波器，计算最大水平和垂直运动矢量，利用返回的曝光时间和增益，基于水平和垂直运动矢量和增益获得曝光时间，将曝光时间和增益返回到自动曝光，并产生具有少运动模糊。

9. 发明申请

US20110096989A1 METHOD AND APPARATUS FOR ENHANCING IMAGE OR VIDEO QUALITY USING AN EXPOSURE AWARE SCENE ADAPTIVE GLOBAL BRIGHTNESS CONTRAST 有权
标题翻译：使用曝光注意事项来增强图像或视频质量的方法和装置自适应全局亮度对比度
公开(公告)号：US20110096989A1
公开(公告)日：2011-04-28
申请号：US12835808
申请日：2010-07-14
申请人： Rajesh Narasimha
发明人： Rajesh Narasimha
IPC分类号： G06K9/00
CPC分类号： H04N5/243 , G06T5/009 , G06T5/40
摘要： A method and apparatus for enhancing at least one of video and image quality using an exposure aware scene adaptive global brightness contrast. The method includes determining if gain control is needed utilizing Gamma corrected histogram and ancillary data, if gain control is not required, computing a set of scene adaptive tone points and blending with information from histogram equalization if needed, if gain control is required, estimating gain value and utilizing the gain value in computing the gain table, and accordingly, generating a look-up table for enhancing global brightness contrast utilizing the gain table, the tone table and the information from histogram equalization.
摘要翻译：一种使用曝光感知场景自适应全局亮度对比度来增强视频和图像质量中的至少一个的方法和装置。该方法包括：如果不需要增益控制，则使用伽马校正直方图和辅助数据来确定是否需要增益控制，如果需要增益控制，则计算一组场景自适应色调点并与来自直方图均衡的信息混合，如果需要增益控制，则估计增益并利用增益值来计算增益表，并且因此，利用增益表，色调表和来自直方图均衡的信息产生用于增强全局亮度对比度的查找表。

10. 发明授权

US11232583B2 Device for and method of determining a pose of a camera 有权
公开(公告)号：US11232583B2
公开(公告)日：2022-01-25
申请号：US15081130
申请日：2016-03-25
申请人： Rajesh Narasimha
发明人： Rajesh Narasimha
IPC分类号： G06T7/73 , G06T7/246 , G06T7/277 , G06T7/55 , H04N5/232
摘要： A method of determining a pose of a camera is described. The method comprises analyzing changes in an image detected by the camera using a plurality of sensors of the camera; determining if a pose of the camera is incorrect; determining which sensors of the plurality of sensors are providing the most reliable image data; and analyzing data from the sensors providing the most reliable image data.

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