公开(公告)号：US20150023594A1

公开(公告)日：2015-01-22

申请号：US14309892

申请日：2014-06-20

Applicant: Texas Instruments Incorporated

Inventor： Buyue Zhang ,  Aziz Umit Batur

IPC: G06T5/00 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T3/4015 ,  G06T5/009 ,  G06T5/20 ,  G06T5/50 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20208 ,  H04N3/155 ,  H04N5/235 ,  H04N5/2355 ,  H04N9/68

Abstract: A method of transforming an N-bit raw wide dynamic range (WDR) Bayer image to a K-bit raw red-green-blue (RGB) image wherein N>K is provided that includes converting the N-bit raw WDR Bayer image to an N-bit raw RGB image, computing a luminance image from the N-bit raw RGB image, computing a pixel gain value for each luminance pixel in the luminance image to generate a gain map, applying a hierarchical noise filter to the gain map to generate a filtered gain map, applying the filtered gain map to the N-bit raw RGB image to generated a gain mapped N-bit RGB image, and downshifting the gain mapped N-bit RGB image by (N−K) to generate the K-bit RGB image.

Abstract translation: 将N位原始宽动态范围（WDR）拜耳图像变换为K比特原始红 - 绿 - 蓝（RGB）图像的方法，其中提供N> K，其包括将N位原始WDR拜耳图像转换为 计算来自N位原始RGB图像的亮度图像，计算亮度图像中的每个亮度像素的像素增益值以产生增益图，将增益图应用到分级噪声滤波器， 生成滤波后的增益图，将滤波后的增益图应用于N位原始RGB图像，生成增益映射的N位RGB图像，并将增益映射的N位RGB图像降低（N-K），生成K 位RGB图像。

公开(公告)号：US20140152694A1

公开(公告)日：2014-06-05

申请号：US14098230

申请日：2013-12-05

Applicant: Texas Instruments Incorporated

Inventor： Rajesh Narasimha ,  Aziz Umit Batur

IPC: G09G5/377

CPC classification number: G09G5/377 ,  G06T5/008 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20012 ,  G06T2207/20021 ,  G06T2207/20208

Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

Abstract translation: 提供了一种产生高动态范围（HDR）图像的方法，其包括捕获场景的长曝光图像和短曝光图像，基于所述长曝光图像的像素值计算长曝光图像的每个像素位置的合并权重 像素位置和饱和度阈值，并且计算HDR图像的每个像素位置的像素值，作为长曝光图像和短曝光图像中的对应像素值的加权和，其中应用于像素的像素值的权重 基于针对像素位置计算的合成权重并响应于长曝光图像的场景中的运动，确定短曝光图像的位置和施加到像素长曝光图像中的像素位置的像素值的权重 短曝光图像。

公开(公告)号：US20130100125A1

公开(公告)日：2013-04-25

申请号：US13659478

申请日：2012-10-24

Applicant: Texas Instruments Incorporated

Inventor： Buyue Zhang ,  Aziz Umit Batur

IPC: G06T15/00

CPC classification number: G06T5/005 ,  G06T15/00 ,  G06T2200/04 ,  G06T2207/10028 ,  G06T2207/20012 ,  H04N2013/0081

Abstract: A first depth map is generated in response to a stereoscopic image from a camera. The first depth map includes first pixels having valid depths and second pixels having invalid depths. In response to the first depth map, a second depth map is generated for replacing at least some of the second pixels with respective third pixels having valid depths. For generating the second depth map, a particular one of the third pixels is generated for replacing a particular one of the second pixels. For generating the particular third pixel, respective weight(s) is/are assigned to a selected one or more of the first pixels in response to value similarity and spatial proximity between the selected first pixel(s) and the particular second pixel. The particular third pixel is computed in response to the selected first pixel(s) and the weight(s).

Abstract translation: 响应于来自相机的立体图像产生第一深度图。 第一深度图包括具有有效深度的第一像素和具有无效深度的第二像素。 响应于第一深度图，生成第二深度图，用于用具有有效深度的相应第三像素替换至少一些第二像素。 为了生成第二深度图，生成第三像素中的特定的一个以替换第二像素中的特定的一个。 为了产生特定的第三像素，响应于所选择的第一像素和特定第二像素之间的值相似性和空间接近度，将相应的权重分配给所选择的一个或多个第一像素。 响应于所选择的第一像素和权重来计算特定的第三像素。

公开(公告)号：US20190180719A1

公开(公告)日：2019-06-13

申请号：US16273896

申请日：2019-02-12

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Rajesh Narasimha ,  Aziz Umit Batur

IPC: G09G5/377 ,  G06T5/50 ,  G06T5/00

CPC classification number: G09G5/377 ,  G06T5/008 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20012 ,  G06T2207/20021 ,  G06T2207/20208 ,  H04N5/2355 ,  H04N5/35581

Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

公开(公告)号：US10255888B2

公开(公告)日：2019-04-09

申请号：US14098230

申请日：2013-12-05

Applicant: Texas Instruments Incorporated

Inventor： Rajesh Narasimha ,  Aziz Umit Batur

IPC: G09G5/377 ,  G06T5/00 ,  G06T5/50

Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

公开(公告)号：US09774833B2

公开(公告)日：2017-09-26

申请号：US14318590

申请日：2014-06-28

Applicant: Texas Instruments Incorporated

Inventor： Vikram VijayanBabu Appia ,  Pedro Gelabert ,  Aziz Umit Batur

IPC: H04N9/31 ,  G02B7/32 ,  G02B7/36

CPC classification number: H04N9/317 ,  G02B7/32 ,  G02B7/36 ,  H04N9/3173 ,  H04N9/3194

Abstract: A method of automatically focusing a projector in a projection system is provided that includes projecting, by the projector, a binary pattern on a projection surface, capturing an image of the projected binary pattern by a camera synchronized with the projector, computing a depth map from the captured image, and adjusting focus of the projector based on the computed depth map.

公开(公告)号：US20160012570A1

公开(公告)日：2016-01-14

申请号：US14866112

申请日：2015-09-25

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Buyue Zhang ,  Aziz Umit Batur

IPC: G06T5/00 ,  G06T7/40 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T3/4015 ,  G06T5/009 ,  G06T5/20 ,  G06T5/50 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20208 ,  H04N3/155 ,  H04N5/235 ,  H04N5/2355 ,  H04N9/68

Abstract: A method of transforming an N-bit raw wide dynamic range (WDR) Bayer image to a K-bit raw red-green-blue (RGB) image wherein N>K is provided that includes converting the N-bit raw WDR Bayer image to an N-bit raw RGB image, computing a luminance image from the N-bit raw RGB image, computing a pixel gain value for each luminance pixel in the luminance image to generate a gain map, applying a hierarchical noise filter to the gain map to generate a filtered gain map, applying the filtered gain map to the N-bit raw RGB image to generated a gain mapped N-bit RGB image, and downshifting the gain mapped N-bit RGB image by (N−K) to generate the K-bit RGB image.

Abstract translation: 将N位原始宽动态范围（WDR）拜耳图像变换为K比特原始红 - 绿 - 蓝（RGB）图像的方法，其中提供N> K，其包括将N位原始WDR拜耳图像转换为 计算来自N位原始RGB图像的亮度图像，计算亮度图像中的每个亮度像素的像素增益值以产生增益图，将增益图应用到分级噪声滤波器， 生成滤波后的增益图，将滤波后的增益图应用于N位原始RGB图像，生成增益映射的N位RGB图像，并将增益映射的N位RGB图像降低（N-K），生成K 位RGB图像。

公开(公告)号：US20150085151A1

公开(公告)日：2015-03-26

申请号：US14449964

申请日：2014-08-01

Applicant: Texas Instruments Incorporated

Inventor： Ibrahim Ethem Pekkucuksen ,  Aziz Umit Batur

IPC: H04N5/232 ,  G06T3/40

CPC classification number: H04N5/23232 ,  G06T3/4053 ,  H04N3/1593 ,  H04N5/3415

Abstract: An image fusing method, apparatus and system for fusing images from an array of cameras, method includes selecting a camera from the array of cameras as a reference camera, estimating misalignment between the retrieved input images from the reference camera and the retrieved input images from the other cameras, estimating misalignment parameters between the reference camera and the other cameras, estimating local disparity between the reference camera image data and the other cameras based on the estimated misalignment parameters, using the estimated misalignment parameters and the estimated disparity values, mapping the image data into a reference camera grid, the retrieved input image data from the other cameras in the array of cameras is fused in the reference camera grid utilizing fractional offsets from integer coordinates, and producing an output image grid on the reference camera grid and interpolate output pixels using processed data for producing a high resolution image.

Abstract translation: 一种用于对来自摄像机阵列进行融合的图像的图像融合方法，装置和系统，包括从相机阵列中选择相机作为参考相机，估计来自参考相机的检索到的输入图像与来自所述参考相机的检索到的输入图像之间的对准 估计参考摄像机和其他摄像机之间的不对准参数，使用估计的未对准参数和估计的视差值，基于估计的未对准参数估计参考摄像机图像数据与其他摄像机之间的局部差异，映射图像数据 将相机阵列中其他摄像机的检索到的输入图像数据融合到参考摄像机网格中，利用来自整数坐标的分数偏移量，并在参考摄像机网格上产生输出图像网格，并使用 用于产生高分辨率图像的处理数据。

公开(公告)号：US20150022693A1

公开(公告)日：2015-01-22

申请号：US14322898

申请日：2014-07-02

Applicant: Texas Instruments Incorporated

Inventor： Vikram VijayanBabu Appia ,  Aziz Umit Batur

IPC: H04N5/235

CPC classification number: H04N5/2355 ,  G06T5/007 ,  G06T5/50 ,  G06T7/521 ,  G06T2207/10028 ,  G06T2207/20208 ,  G06T2207/20212

Abstract: Wide dynamic range depth imaging in a structured light device is provided that improves depth maps for scenes with a wide range of albedo values under varying light conditions. A structured light pattern, e.g., a time-multiplexed structured light pattern, is projected into a scene at various projection times and a camera captures images of the scene for at least the same exposure times as the projection times. A depth image is computed for each of the projection/exposure times and the resulting depth images are combined to generate a composite depth image.

Abstract translation: 提供了一种结构化光装置中的宽动态范围深度成像，可改善在不同光线条件下具有广泛反照率值的场景的深度图。 诸如时间复用结构光图案的结构光图案在各种投影时间被投射到场景中，并且相机拍摄场景的图像至少与投影时间相同的曝光时间。 为每个投影/曝光时间计算深度图像，并将所得到的深度图像组合以产生复合深度图像。

公开(公告)号：US20140241620A1

公开(公告)日：2014-08-28

申请号：US14188670

申请日：2014-02-24

Applicant: Texas Instruments Incorporated

Inventor： Buyue Zhang ,  Aziz Umit Batur

IPC: G06K9/46 ,  G06K9/62

CPC classification number: G06K9/4661 ,  G06K9/4652 ,  G06T5/007 ,  G06T5/009 ,  H04N9/73 ,  H04N9/735

Abstract: A method for estimating illumination of an image captured by a digital system is provided that includes computing a feature vector for the image, identifying at least one best reference illumination class for the image from a plurality of predetermined reference illumination classes using the feature vector, an illumination classifier, and predetermined classification parameters corresponding to each reference illumination class, and computing information for further processing of the image based on the at least one best reference illumination class, wherein the information is at least one selected from a group consisting of color temperature and white balance gains.

Abstract translation: 提供了一种用于估计由数字系统拍摄的图像的照明的方法，其包括计算图像的特征向量，使用特征向量从多个预定参考照明类别中识别图像的至少一个最佳参考照明类别， 照明分类器和对应于每个参考照明类别的预定分类参数，以及用于基于所述至少一个最佳参考照明类别进一步处理所述图像的计算信息，其中所述信息是从由色温和 白平衡收益。