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公开(公告)号：US20180075587A1
公开(公告)日：2018-03-15
申请号：US15265731
申请日：2016-09-14
Applicant: OmniVision Technologies, Inc.
Inventor： Sarvesh Swami , Donghui Wu
CPC classification number: G06T5/005 , G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10012 , G06T2207/10024 , G06T2207/20221 , H04N5/247 , H04N5/265
Abstract: A method for combining array camera images with feature-based ghost removal includes (a) receiving, from an array camera, a first image and a second image respectively captured by a first camera and a second camera of the array camera, (b) rectifying and aligning the first image and the second image, (c) after said rectifying and aligning, identifying features in the first image to produce at least one first feature image each indicating features in the first image, and identifying features in the second image to produce at least one second feature image each indicating features in the second image, (d) comparing the at least one first feature image with the at least one second feature image to determine a ghost mask defining combination weights for combination of the first image with the second image.
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公开(公告)号：US09692992B2
公开(公告)日：2017-06-27
申请号：US14249006
申请日：2014-04-09
Applicant: OMNIVISION TECHNOLOGIES, INC.
Inventor： Donghui Wu
CPC classification number: H04N5/332 , H01L27/14621 , H04N9/045 , H04N2209/045
Abstract: Embodiments of a color filter array include a plurality of tiled minimal repeating units, each minimal repeating unit comprising an M×N set of individual filters, and each individual filter in the set having a photoresponse selected from among four different photoresponses. Each minimal repeating unit includes a checkerboard pattern of filters of the first photoresponse, and filters of the second, third, and fourth photoresponses distributed among the checkerboard pattern such that the filters of the second, third, and fourth photoresponses are sequentially symmetric about one or both of a pair of orthogonal axes of the minimal repeating unit.
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公开(公告)号：US20170177951A1
公开(公告)日：2017-06-22
申请号：US14978873
申请日：2015-12-22
Applicant: OmniVision Technologies, Inc.
Inventor： Lei Yang , Donghui Wu
CPC classification number: G06K9/00798 , G06T7/0081 , G06T7/0091 , G06T7/12 , G06T7/155 , G06T2207/20036 , G06T2207/30256
Abstract: A lane detection system includes a non-volatile memory storing machine-readable instructions and an image processor capable of receiving a road image. The image processor, when executing the machine-readable instructions, is capable of: (i) processing the road image to identify a lane candidate within a lane-existing region of the road image, the lane-existing region having (a) a near subregion including an imaged road region nearer to the vehicle and (b) a far subregion including an imaged road region farther from the vehicle, (ii) verifying the lane candidate as a true lane candidate when a minimum distance between (a) a line fit to a portion of the lane candidate in the near subregion and (b) a predetermined reference point in the road image is less than a neighborhood distance; and (iii) extending the true lane candidate into the far subregion to form a detected lane marker demarcating the lane marker.
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公开(公告)号：US09432589B2
公开(公告)日：2016-08-30
申请号：US13968092
申请日：2013-08-15
Applicant: OmniVision Technologies, Inc.
Inventor： Jiangtao Kuang , Donghui Wu , Jizhang Shan
CPC classification number: H04N5/2355 , G06T5/002 , G06T5/40 , G06T2207/20208 , H04N5/2353 , H04N5/35581
Abstract: A method determines a pixel value in a high dynamic range image from two images of different brightness by obtaining corresponding input pixel intensities from the two images, determining combination weights, and calculating the pixel value in the high dynamic range image as a weighted average of the input pixel intensities. Another method determines a pixel value in a high dynamic range image from more than two images by forming pairs of corresponding input pixel intensities, determining relative combination weights for the input pixels intensities for each pair, applying a normalization condition to determine absolute combination weights, and calculating the pixel value in the high dynamic range image as a weighted average of the input pixel intensities. Systems for generating high dynamic range image generation from two or more input images include a processor, a memory, a combination weight module, and a pixel value calculation module.
Abstract translation: 一种方法通过从两个图像获得相应的输入像素强度，确定组合权重，并计算高动态范围图像中的像素值，来确定来自两个不同亮度的图像的高动态范围图像中的像素值，作为加权平均值 输入像素强度。 另一种方法通过形成相应的输入像素强度对来确定来自两个以上图像的高动态范围图像中的像素值，确定每对输入像素强度的相对组合权重，应用归一化条件来确定绝对组合权重，以及 计算高动态范围图像中的像素值作为输入像素强度的加权平均值。 用于从两个或多个输入图像生成高动态范围图像生成的系统包括处理器，存储器，组合权重模块和像素值计算模块。
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公开(公告)号：US20150365586A1
公开(公告)日：2015-12-17
申请号：US14835503
申请日：2015-08-25
Applicant: OMNIVISION TECHNOLOGIES, INC.
Inventor： Tiejun Dai , Eiichi Funatsu , Donghui Wu , Zheng Yang , Xiao Xie
CPC classification number: H04N5/23212 , H04N5/243 , H04N5/3765 , H04N5/378
Abstract: A method of focusing an image sensor includes scanning a first portion of an image frame from an image sensor a first time at a first rate to produce first focus data. A second portion of the image frame from the image sensor is scanned at a second rate to read image data from the second portion. The first rate is greater than the second rate. The first portion of the image frame is scanned a second time at the first rate to produce second focus data. The first focus data and the second focus data are compared, and the focus of a lens is adjusted in response to the comparison of the first focus data and the second focus data.
Abstract translation: 聚焦图像传感器的方法包括以第一速率首先从图像传感器扫描图像帧的第一部分以产生第一焦点数据。 以第二速率扫描来自图像传感器的图像帧的第二部分，以从第二部分读取图像数据。 第一个比率大于第二个比率。 以第一速率第二次扫描图像帧的第一部分以产生第二焦点数据。 比较第一焦点数据和第二焦点数据，并且响应于第一焦点数据和第二焦点数据的比较来调整透镜的焦点。
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Patent Agency Ranking
16.发明申请MULTI-TARGET AUTOMATIC EXPOSURE AND GAIN CONTROL BASED ON PIXEL INTENSITY DISTRIBUTION 有权基于像素强度分布的多目标自动曝光和增益控制公开(公告)号：US20150009361A1
公开(公告)日：2015-01-08
申请号：US13933674
申请日：2013-07-02
Applicant: OmniVision Technologies, Inc.
Inventor： Chengming Liu , Jizhang Shan , Donghui Wu
IPC: H04N5/235
CPC classification number: H04N5/2352 , H04N5/2356
Abstract: An example method of multi-target automatic exposure and gain control based on pixel intensity distribution includes capturing a series of digital images with an image sensor. As the series of digital images are captured, exposure time and/or gain are adjusted to adjust a mean intensity value of the digital images until a target mean intensity value is reached. The method includes dynamically selecting the target mean intensity value from a plurality of target mean intensity values based on a relative number of pixels, in each captured digital image, that have an intensity value that falls outside a range of intensity values.
Abstract translation: 基于像素强度分布的多目标自动曝光和增益控制的示例方法包括用图像传感器捕获一系列数字图像。 当捕获一系列数字图像时，调整曝光时间和/或增益以调整数字图像的平均强度值，直到达到目标平均强度值。 该方法包括基于在每个捕获的数字图像中具有落在强度值范围之外的强度值的像素的相对数目，从多个目标平均强度值中动态地选择目标平均强度值。
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公开(公告)号：US20140118572A1
公开(公告)日：2014-05-01
申请号：US14148078
申请日：2014-01-06
Applicant: OmniVision Technologies, Inc.
Inventor： Jiangtao Kuang , Donghui Wu , Jizhang Shan
IPC: H04N9/04 , H01L27/146
CPC classification number: H04N9/045 , H01L27/14625 , H04N5/343 , H04N2209/045
Abstract: An image sensor includes an array of light sensitive elements and a filter array. Each filter element is in optical communication with a respective light sensitive element. The image sensor receives filtered light having a repeating pattern. Light sensitive elements in at least two successive rows alternately receive light having a first color and a second color, and light sensitive elements in common columns of the successive rows alternately receive light having the first color and the second color. Light sensitive elements in at least two additional successive rows alternately receive light having a third and a fourth color, and light sensitive elements in common columns of the additional successive rows alternately receive light having the third color and the fourth color. Output values of pairs of sampled light sensitive elements receiving light of a common color and from successive rows are combined to generate a down-sampled image.
Abstract translation: 图像传感器包括光敏元件阵列和滤光片阵列。 每个滤光元件与相应的光敏元件光学连通。 图像传感器接收具有重复图案的滤波光。 在至少两个连续行中的感光元件交替地接收具有第一颜色和第二颜色的光，并且连续行的公共列中的光敏元件交替地接收具有第一颜色和第二颜色的光。 在至少两个附加连续行中的感光元件交替地接收具有第三和第四颜色的光，并且附加连续行的公共列中的光敏元件交替地接收具有第三颜色和第四颜色的光。 接收公共颜色光和连续行的采样光敏元件对的输出值被组合以产生下采样图像。
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公开(公告)号：US09916644B1
公开(公告)日：2018-03-13
申请号：US15261819
申请日：2016-09-09
Applicant: OmniVision Technologies, Inc.
Inventor： Sarvesh Swami , Donghui Wu , Timofey Uvarov
CPC classification number: G06T5/004 , G06T5/50 , G06T7/11 , G06T7/136 , G06T7/194 , G06T2207/20021 , G06T2207/20208 , G06T2207/20221 , H04N5/232
Abstract: A method for removing a ghost artifact from a multiple-exposure image of a scene method includes steps of generating and segmenting a difference mask, determining a lower threshold and an upper threshold, generating a refined mask, and generating a corrected image. The difference mask includes a plurality of absolute differences in luminance-values between the multiple-exposure image and a first image of the scene. The segmenting step involves segmenting the difference mask into a plurality of blocks. The lower and upper thresholds are based on statistical properties of the blocks. The method generates the refined mask by mapping each absolute difference to a respective one of a plurality refined values, of the refined mask, equal to a function of the absolute difference, the lower threshold, and the upper threshold. The corrected image is a weighted sum of the first image and the multiple-exposure image, weights being based on the refined mask.
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公开(公告)号：US09413992B2
公开(公告)日：2016-08-09
申请号：US14243480
申请日：2014-04-02
Applicant: OMNIVISION TECHNOLOGIES, INC.
Inventor： Jiangtao Kuang , Donghui Wu , Chao Wang , Eiichi Funatsu
CPC classification number: H04N5/35554 , H04N5/2355 , H04N5/35545 , H04N5/35563
Abstract: A method of reading pixel data from a pixel array includes exposing each one of a plurality of regions of pixels a respective exposure time. Pixel data is read from the plurality of regions of pixels. The pixel data is interpolated from a first one of the plurality of regions of pixels to determine the pixel data of the regions of pixels other than the first one of the plurality of regions of pixels to generate a first image having the first exposure time. The pixel data is interpolated from the second one of the plurality of regions of pixels to determine the pixel data of the regions of pixels other than the second one of the plurality of regions to generate a second image having the second exposure time. The images are combined to produce a high dynamic range image.
Abstract translation: 从像素阵列读取像素数据的方法包括将多个像素区域中的每一个曝光到相应的曝光时间。 从像素的多个区域读取像素数据。 从多个像素区域中的第一个像素数据插值像素数据，以确定多个像素区域中的第一像素以外的像素区域的像素数据，以生成具有第一曝光时间的第一图像。 像素数据从多个像素区域中的第二个像素内插，以确定多个区域中的第二个区域之外的像素区域的像素数据，以产生具有第二曝光时间的第二图像。 图像被组合以产生高动态范围图像。
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公开(公告)号：US20150130972A1
公开(公告)日：2015-05-14
申请号：US14076665
申请日：2013-11-11
Applicant: OmniVision Technologies, Inc.
Inventor： Chengming Liu , Jizhang Shan , Donghui Wu , Xiaoyong Wang , Changmeng Liu
CPC classification number: H04N5/3572
Abstract: A CMOS imaging system is capable of self-calibrating to correct for lens shading by use of images captured in the normal environment of use, apart from a production calibration facility.
Abstract translation: CMOS成像系统能够通过使用在正常使用环境中捕获的图像来校正透镜阴影，除了生产校准设备之外。
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