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公开(公告)号：US20210211626A1
公开(公告)日：2021-07-08
申请号：US17201132
申请日：2021-03-15
发明人： Xing CHEN , Junping MA , Qiang ZHANG
摘要： A Bayer image detection method and device, and a machine readable storage medium are provided. The method includes: obtaining a Bayer image from an image sensor, the Bayer image including at least one Bayer image unit, the Bayer image unit including four pixels; detecting a distribution mode of two pixels with maximum pixel values among the four pixels in the Bayer image unit; and determining a detection result of the Bayer image according to the distribution mode. In this way, it is unnecessary to detect the entire image in some exemplary embodiments, and it can be determined, based on merely one Bayer image unit, whether the Bayer image has a missing row or missing column, thereby achieving the effect of quickly detecting an error in the Bayer image. An error in the Bayer image can be positioned quickly, which helps improve correction efficiency of the Bayer image.
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公开(公告)号：US20210012459A1
公开(公告)日：2021-01-14
申请号：US17031475
申请日：2020-09-24
发明人： Xing CHEN , Zisheng CAO , Wei TUO , Junping MA , Qiang ZHANG
摘要： A method for image processing includes determining an upsample region based on a region excluding a region of interest in an image; and performing an upsampling operation in the upsample region without performing the upsampling operation in the region of interest.
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3.发明申请SYSTEM AND METHOD FOR SUPPORTING IMAGE DENOISING BASED ON NEIGHBORHOOD BLOCK DIMENSIONALITY REDUCTION 有权基于邻域块尺寸减小的支持图像聚集的系统和方法公开(公告)号：US20170061585A1
公开(公告)日：2017-03-02
申请号：US15349773
申请日：2016-11-11
发明人： Zisheng CAO , Junping MA , Xing CHEN , Mingyu WANG
CPC分类号： G06T5/002 , G06T5/20 , G06T2200/28 , G06T2207/10024 , G06T2207/20012
摘要： System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.
摘要翻译： 系统和方法可以支持图像处理设备。 图像处理装置操作以获得第一组表征值，其表示与图像中的去噪像素相关联的第一组像素。 此外，图像处理设备可以获得第二组表征值，其表示与去噪参考像素相关联的第二组像素。 此外，图像处理装置操作以使用第一组表征值和第二组表征值来确定去噪像素和去噪参考像素之间的相似度。 然后，图像处理装置可以基于所确定的去噪像素和去噪参考像素之间的相似度来计算去噪像素的去噪值。
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4.发明申请公开(公告)号：US20180322619A1
公开(公告)日：2018-11-08
申请号：US16015436
申请日：2018-06-22
发明人： Zisheng CAO , Junping MA , Xing CHEN , Mingyu WANG
CPC分类号： G06T5/002 , G06T5/20 , G06T2200/28 , G06T2207/10024 , G06T2207/20012
摘要： System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.
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公开(公告)号：US20180091828A1
公开(公告)日：2018-03-29
申请号：US15824581
申请日：2017-11-28
发明人： Xing CHEN , Zisheng CAO , Lei ZHU
IPC分类号： H04N19/91 , H04N19/13 , H04N19/105
CPC分类号： H04N19/91 , H04N19/105 , H04N19/13 , H04N19/503
摘要： A system for processing a video obtains a prediction table for a reference frame of the video and codes one or more target frames of the video based on the prediction table. The prediction table is a Huffman table of difference values for reference pixels of the reference frame. The difference value for a reference pixel is determined based on an actual value of the reference pixel and a prediction value determined based on respective pixel values of one or more pixels adjacent to the reference pixel. The one or more target frames are coded based on the Huffman table of the reference frame and prediction values of the one or more target frames.
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6.发明申请公开(公告)号：US20170337666A1
公开(公告)日：2017-11-23
申请号：US15619121
申请日：2017-06-09
发明人： Zisheng CAO , Junping MA , Xing CHEN , Mingyu WANG
CPC分类号： G06T5/002 , G06T5/20 , G06T2200/28 , G06T2207/10024 , G06T2207/20012
摘要： System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.
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