公开(公告)号：US08644697B1

公开(公告)日：2014-02-04

申请号：US13183363

申请日：2011-07-14

Applicant: Meir Tzur ,  Guy Rapaport

Inventor： Meir Tzur ,  Guy Rapaport

IPC: G03B3/00 ,  G03B13/00

CPC classification number: H04N5/23212 ,  G06T7/529

Abstract: A system, method, and computer program product are provided for automatically progressively determining focus depth estimates for an imaging device from defocused images. After a depth-from-defocus (DFD) system generates sometimes-noisy estimates for focus depth and optionally a confidence level that the focus depth estimate is correct, embodiments of the present invention process a sequence of such input DFD measures to iteratively decrease the likelihood of focus depth ambiguity and to increase an overall focus depth estimate confidence level. Automatic focus systems for imaging devices may use the outputs of the embodiments to operate more quickly and accurately, either directly or in combination with other focus depth estimation methods, such as calculated sharpness measures. A depth map of a 3D scene may be estimated for creating a pair of images based on a single image.

Abstract translation: 提供了一种系统，方法和计算机程序产品，用于从散焦图像中自动逐步确定成像设备的焦点深度估计。 在离焦深度（DFD）系统产生聚焦深度的有时噪声估计值和可选的焦点深度估计值的置信水平之后，本发明的实施例处理这种输入DFD测量的序列以迭代地降低可能性 的焦点深度歧义，并增加整体焦点深度估计置信水平。 用于成像装置的自动对焦系统可以使用实施例的输出来直接地或者与其它聚焦深度估计方法（诸如计算的锐度度量）组合更快速和准确地进行操作。 可以基于单个图像来估计3D场景的深度图以创建一对图像。

公开(公告)号：US08194152B2

公开(公告)日：2012-06-05

申请号：US12511726

申请日：2009-07-29

Applicant: Victor Pinto ,  Artemy Baxansky ,  Meir Tzur

Inventor： Victor Pinto ,  Artemy Baxansky ,  Meir Tzur

IPC: H04N9/73 ,  H04N5/217 ,  G06K9/40

CPC classification number: H04N9/735 ,  H04N5/235 ,  H04N5/2357

Abstract: Methods for estimating illumination parameters under flickering lighting conditions are disclosed. Illumination parameters, such as phase and contrast, of a intensity-varying light source may be estimated by capturing a sequence of video images, either prior to or after a desired still image to be processed. The relative average light intensities of the adjacently-captured images are calculated and used to estimate the illumination parameters applicable to the desired still image. The estimated illumination parameters may be used to calculate the point spread function of a still image for image de-blurring processing. The estimated illumination parameters may also be used to synchronize the exposure timing of a still image to the time when there is the most light, as well as for use in motion estimation during view/video modes.

Abstract translation: 公开了在闪烁照明条件下估计照明参数的方法。 可以通过在要处理的所需静止图像之前或之后捕获视频图像序列来估计强度变化光源的照明参数，例如相位和对比度。 计算相邻拍摄图像的相对平均光强度并用于估计适用于所需静止图像的照明参数。 可以使用估计的照明参数来计算用于图像去模糊处理的静止图像的点扩散函数。 估计的照明参数也可以用于使静止图像的曝光定时与最亮的时间同步，以及用于在视图/视频模式期间的运动估计。

公开(公告)号：US20110205387A1

公开(公告)日：2011-08-25

申请号：US13099304

申请日：2011-05-02

Applicant: Meir Tzur ,  Ben-Zion Shaick ,  Itsik Dvir ,  Victor Pinto

Inventor： Meir Tzur ,  Ben-Zion Shaick ,  Itsik Dvir ,  Victor Pinto

IPC: H04N5/225 ,  G06K9/68

CPC classification number: G06K9/60 ,  G06K9/3208 ,  G06K9/62 ,  G06K9/6282 ,  G06T3/60 ,  H04N5/23219 ,  H04N5/23229 ,  H04N2101/00

Abstract: The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis.

Abstract translation: 通过将图像中定义的窗口内的图像数据与两个或更多个组合的顺序进行比较来确定特定类型的对象（例如人脸）存在于数字图像内的可能性及其在该图像中的位置 表示特定类型对象的特征的数据。 优选地，对第一组之后的每组特征的评估仅对通过相对于第一组特征的评估的那些窗口的数据执行，从而快速缩小包含对象的至少一部分的潜在目标窗口。 相关分数优选通过使用非线性内插技术来计算，以获得更精细的分数。 各个窗口的评估还优选地包括为围绕一个轴的对象的各种位置维护单独的特征集数据，并且相对于关于另一个轴的各个窗口的图像数据旋转特征集数据。

公开(公告)号：US20110181770A1

公开(公告)日：2011-07-28

申请号：US12857343

申请日：2010-08-16

Applicant: Guy Rapaport ,  Meir Tzur ,  Artemy Baxansky

Inventor： Guy Rapaport ,  Meir Tzur ,  Artemy Baxansky

IPC: H04N5/232

CPC classification number: H04N5/23212 ,  H04N5/2356

Abstract: A device and methods are provided for calculating depth estimation for a digital imaging device are disclosed and claimed. In one embodiment, a method includes detecting a first image associated with a first focus parameter, detecting a second image associated with a second focus parameter, calculating a statistical representation of a region of interest in the first and second images, and determining a ratio for the region of interest based on the statistical representation. The method may further include determining one or more focus characteristics using a memory table based on the determined ratio for the region of interest, and calculating a focus depth for capture of image data based on the determined one or more focus characteristics associated with the memory table.

Abstract translation: 提供了一种用于计算数字成像装置的深度估计的装置和方法。 在一个实施例中，一种方法包括检测与第一焦点参数相关联的第一图像，检测与第二焦点参数相关联的第二图像，计算第一和第二图像中感兴趣区域的统计表示，以及确定 基于统计表示的兴趣区域。 该方法还可以包括：基于所确定的感兴趣区域的比例，使用存储表确定一个或多个焦点特征，以及基于所确定的与存储表相关联的一个或多个聚焦特性来计算用于捕获图像数据的聚焦深度 。

公开(公告)号：US08593541B2

公开(公告)日：2013-11-26

申请号：US13410256

申请日：2012-03-01

Applicant: Victor Pinto ,  Artemy Baxansky ,  Meir Tzur

Inventor： Victor Pinto ,  Artemy Baxansky ,  Meir Tzur

IPC: H04N9/73 ,  H04N5/217 ,  G06K9/40

CPC classification number: H04N9/735 ,  H04N5/235 ,  H04N5/2357

Abstract: Methods for estimating illumination parameters under flickering lighting conditions are disclosed. Illumination parameters, such as phase and contrast, of a intensity-varying light source may be estimated by capturing a sequence of video images, either prior to or after a desired still image to be processed. The relative average light intensities of the adjacently-captured images are calculated and used to estimate the illumination parameters applicable to the desired still image. The estimated illumination parameters may be used to calculate the point spread function of a still image for image de-blurring processing. The estimated illumination parameters may also be used to synchronize the exposure timing of a still image to the time when there is the most light, as well as for use in motion estimation during view/video modes.

Abstract translation: 公开了在闪烁照明条件下估计照明参数的方法。 可以通过在要处理的所需静止图像之前或之后捕获视频图像序列来估计强度变化光源的照明参数，例如相位和对比度。 计算相邻拍摄图像的相对平均光强度并用于估计适用于所需静止图像的照明参数。 可以使用估计的照明参数来计算用于图像去模糊处理的静止图像的点扩散函数。 估计的照明参数也可以用于使静止图像的曝光定时与最亮的时间同步，以及用于在视图/视频模式期间的运动估计。

公开(公告)号：US08582001B2

公开(公告)日：2013-11-12

申请号：US12756035

申请日：2010-04-07

Applicant: Meir Tzur ,  Victor Pinto

Inventor： Meir Tzur ,  Victor Pinto

IPC: H04N5/235 ,  G03B7/00

CPC classification number: H04N5/235 ,  H04N5/3355

Abstract: A device and methods are provided for producing a high dynamic range (HDR) image of a scene are disclosed and claimed. In one embodiment, method includes setting an exposure period of an image sensor of the digital camera and capturing image data based on the exposure period. The method may further include checking the image data to determine whether the number of saturated pixels exceeds a saturation threshold and checking the image data to determine whether the number of cutoff pixels exceeds a cutoff threshold. The method may further include generating a high dynamic range image based on image data captured by the digital camera, wherein the high dynamic range image is generated based on a minimum number of images to capture a full dynamic range of the scene.

Abstract translation: 提供用于产生场景的高动态范围（HDR）图像的装置和方法被公开和要求保护。 在一个实施例中，方法包括设置数字照相机的图像传感器的曝光周期并且基于曝光周期捕获图像数据。 该方法还可以包括检查图像数据以确定饱和像素的数量是否超过饱和阈值，并且检查图像数据以确定截止像素的数量是否超过截止阈值。 该方法可以进一步包括基于由数字照相机拍摄的图像数据生成高动态范围图像，其中基于最小数量的图像生成高动态范围图像以捕获场景的完整动态范围。

公开(公告)号：US08542313B2

公开(公告)日：2013-09-24

申请号：US12857343

申请日：2010-08-16

Applicant: Guy Rapaport ,  Meir Tzur ,  Artemy Baxansky

Inventor： Guy Rapaport ,  Meir Tzur ,  Artemy Baxansky

IPC: H04N5/232 ,  H04N5/228 ,  H04N5/225

CPC classification number: H04N5/23212 ,  H04N5/2356

Abstract: A device and methods are provided for calculating depth estimation for a digital imaging device are disclosed and claimed. In one embodiment, a method includes detecting a first image associated with a first focus parameter, detecting a second image associated with a second focus parameter, calculating a statistical representation of a region of interest in the first and second images, and determining a ratio for the region of interest based on the statistical representation. The method may further include determining one or more focus characteristics using a memory table based on the determined ratio for the region of interest, and calculating a focus depth for capture of image data based on the determined one or more focus characteristics associated with the memory table.

Abstract translation: 提供了一种用于计算数字成像装置的深度估计的装置和方法。 在一个实施例中，一种方法包括检测与第一焦点参数相关联的第一图像，检测与第二焦点参数相关联的第二图像，计算第一和第二图像中感兴趣区域的统计表示，以及确定 基于统计表示的兴趣区域。 该方法还可以包括：基于所确定的感兴趣区域的比例，使用存储表确定一个或多个焦点特征，以及基于所确定的与存储表相关联的一个或多个聚焦特性来计算用于捕获图像数据的聚焦深度 。

公开(公告)号：US08331666B2

公开(公告)日：2012-12-11

申请号：US12391173

申请日：2009-02-23

Applicant: Noam Levy ,  Meir Tzur

Inventor： Noam Levy ,  Meir Tzur

IPC: G06K9/00

CPC classification number: G06K9/0061 ,  G06T5/005 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/30216

Abstract: Systems and methods are provided for reducing eye coloration artifacts in an image. In the system and method, an eye is detected in the image and a pupil color for the eye in the image and a skin color of skin in the image associated with the eye are determined. At least one region of artifact coloration in the eye in the image is then identified based on the pupil color and the skin color, and a coloration of the region is modified to compensate for the artifact coloration.

Abstract translation: 提供了用于减少图像中的眼睛着色伪像的系统和方法。 在系统和方法中，在图像中检测到眼睛，并确定图像中的眼睛的瞳孔颜色和与眼睛相关联的图像中的皮肤的皮肤颜色。 然后基于瞳孔颜色和皮肤颜色来识别图像中眼睛中的至少一个伪影着色区域，并修改该区域的着色以补偿伪像着色。

公开(公告)号：US08160309B1

公开(公告)日：2012-04-17

申请号：US12130704

申请日：2008-05-30

Applicant: Meir Tzur ,  Victor Pinto

Inventor： Meir Tzur ,  Victor Pinto

IPC: G06K9/00 ,  G06K9/46

CPC classification number: H03F3/217

Abstract: A method of face recognition includes generating a recognition database for at least one identified face by obtaining multiple images for each identified face; selecting a subset of distinctive features for each identified face from a set of features, where each of the distinctive features in the subset have at least one calculated value representative of that distinctive feature of the identified face that exceeds a threshold level of distinction from at least one corresponding calculated value for a reference set of faces, and, for each identified face, recording in the recognition database the selected subset of distinctive features. To recognize an image of an unidentified face, a comparison metric is calculated for at least one identified face in the recognition database comparing at least a portion of the selected subset of distinctive features of that identified face with corresponding features for the unidentified face. The comparison metric for that identified face is used to determine if there is a correlation between the unidentified face and the identified face.

Abstract translation: 一种人脸识别方法包括通过为每个识别的脸部获得多个图像来产生至少一个识别的脸部的识别数据库; 从一组特征中为每个识别的面部选择特征特征的子集，其中子集中的每个独特特征具有代表所识别的面部的至少一个阈值水平的至少一个计算值 对于参考组的一个对应的计算值，并且对于每个识别的面部，在识别数据库中记录所选择的特征特征的子集。 为了识别未识别脸部的图像，针对识别数据库中的至少一个识别的脸部计算比较度量，将所识别的脸部的特征特征的所选子集的至少一部分与未识别脸部的相应特征进行比较。 用于确定脸部的比较度量用于确定未识别脸部和识别脸部之间是否存在相关性。

公开(公告)号：US08090212B1

公开(公告)日：2012-01-03

申请号：US12130993

申请日：2008-05-30

Applicant: Artemy Baxansky ,  Meir Tzur

Inventor： Artemy Baxansky ,  Meir Tzur

IPC: G06K9/40

CPC classification number: H03F3/217

Abstract: A method of processing an image includes determining at least one point spread function for the image. For each point spread function, the image, or at least a portion of the image, is filtered using at least one filter based on that point spread function to generate a corresponding filtered image for each filter. If only a single point spread function is determined then a plurality of different filters are used to individually filter the image, or at least a portion of the image, to generate a plurality of different filtered images. At least one quality metric is determined for each of the filtered images. A final filtered image is selected from the filtered images based on the at least one quality metric for each of the filtered images.

Abstract translation: 一种处理图像的方法包括确定图像的至少一个点扩散函数。 对于每个点扩散函数，使用基于该点扩展函数的至少一个滤波器对图像或图像的至少一部分进行滤波，以生成每个滤波器的相应滤波图像。 如果仅确定单个点扩散函数，则使用多个不同的滤波器来单独地过滤图像或图像的至少一部分，以生成多个不同的滤波图像。 为每个滤波图像确定至少一个质量度量。 基于每个滤波图像的至少一个质量度量，从经滤波的图像中选择最终滤波图像。