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公开(公告)号:US20240147090A1
公开(公告)日:2024-05-02
申请号:US18385188
申请日:2023-10-30
发明人: Gyubeom Edward Im , Yohan Roh , Youngil Seo , Hansol Lee , Kyeongjong Lim , Jeyeon Kim , Yeolmin Seong , Yongjoon Song , Jeisung Lee
IPC分类号: H04N25/683 , G06T3/60 , H04N25/78
CPC分类号: H04N25/683 , G06T3/60 , H04N25/78
摘要: An image sensor includes: a pixel array including a plurality of sensing pixels each configured to convert a received light signal into an electrical signal; a readout circuit configured to convert the electrical signals into image data and output the image data; and a bad pixel correction circuit configured to: input, to a neural network, first input data comprising a first cluster bad pixel of the image data in a first direction to generate a first corrected pixel data, and flip second input data comprising a second cluster bad pixel of the image data in a second direction to generate third input data, and input, to the neural network, the third input data to generate a second corrected pixel data.
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2.
公开(公告)号:US11575849B2
公开(公告)日:2023-02-07
申请号:US16689579
申请日:2019-11-20
发明人: Keun Joo Park , Junseok Kim , Yohan Roh , Hyunsurk Ryu , Jooyeon Woo , Hyunku Lee
IPC分类号: H04N5/3745 , H04N5/341 , H05B39/04 , G06F16/23 , G06F16/583 , H04N5/367 , H04N5/369 , H05B47/11 , H05B47/16 , H05B47/155
摘要: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.
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3.
公开(公告)号:US20230156368A1
公开(公告)日:2023-05-18
申请号:US18150407
申请日:2023-01-05
发明人: Keun Joo PARK , Junseok Kim , Yohan Roh , Hyunsurk Ryu , Jooyeon woo , Hyunku Lee
IPC分类号: H04N25/77 , H05B39/04 , G06F16/23 , G06F16/583 , H04N25/40 , H04N25/79 , H04N25/683 , H04N25/772
CPC分类号: H04N25/77 , H05B39/042 , G06F16/2322 , G06F16/583 , H04N25/40 , H04N25/79 , H04N25/683 , H04N25/772 , H05B47/11
摘要: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.
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4.
公开(公告)号:US10531031B2
公开(公告)日:2020-01-07
申请号:US15914073
申请日:2018-03-07
发明人: Keun Joo Park , Junseok Kim , Yohan Roh , Hyunsurk Ryu , Jooyeon Woo , Hyunku Lee
IPC分类号: H04N5/3745 , H04N5/341 , H05B39/04 , G06F16/23 , G06F16/583 , H04N5/367 , H05B37/02
摘要: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.
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5.
公开(公告)号:US11202025B2
公开(公告)日:2021-12-14
申请号:US16689535
申请日:2019-11-20
发明人: Keun Joo Park , Junseok Kim , Yohan Roh , Hyunsurk Ryu , Jooyeon Woo , Hyunku Lee
IPC分类号: H04N5/3745 , H04N5/341 , H05B39/04 , G06F16/23 , G06F16/583 , H04N5/367 , H04N5/369 , H05B47/11 , H05B47/16 , H05B47/155
摘要: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.
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6.
公开(公告)号:US20200092507A1
公开(公告)日:2020-03-19
申请号:US16689535
申请日:2019-11-20
发明人: Keun Joo Park , Junseok Kim , Yohan Roh , Hyunsurk Ryu , Jooyeon Woo , Hyunku Lee
IPC分类号: H04N5/3745 , G06F16/583 , H04N5/367 , H04N5/341 , H05B39/04 , G06F16/23
摘要: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.
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公开(公告)号:US20240323559A1
公开(公告)日:2024-09-26
申请号:US18606743
申请日:2024-03-15
发明人: Jeisung LEE , Kyeongjong Lim , Yohan Roh , Youngil Seo , Deokha Shin , Chanwoo Ahn , Hansol Lee , Yeolmin Seong , Jeongguk Lee
IPC分类号: H04N25/683 , H04N25/78
CPC分类号: H04N25/683 , H04N25/78
摘要: An electronic device may include a first defective pixel corrector configured to correct pixel values of defective pixels among the plurality of pixels by using pixel values of neighboring pixels of each of the defective pixels and generate first pixel data, the pixel values of the defective pixels being included in the image data, and a second defective pixel corrector configured to correct a pixel value of a cluster of defective pixels by using a neural network and generate second pixel data, the pixel value of the cluster of defective pixels being included in the image data, and the neural network being trained to correct the cluster of defective pixels.
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公开(公告)号:US20240163578A1
公开(公告)日:2024-05-16
申请号:US18388019
申请日:2023-11-08
发明人: Yohan Roh , Jeyeon Kim , Yeolmin Seong , Yongjoon Song , Chanwoo Ahn , Jeisung Lee
摘要: An image signal processor, an image sensor, and an operating method of the image sensor are provided. The image sensor may include a pixel array including a plurality of sensing pixels each configured to convert a received light signal into an electrical signal, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to correct bad pixels occurring in a first pixel group of the image data, based on a neural network, encode position information representing a position of at least one bad pixel of the bad pixels to generate position data, and provide the position data to a first middle layer of a plurality of layers included in the neural network.
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