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公开(公告)号：US20210019565A1
公开(公告)日：2021-01-21
申请号：US17063414
申请日：2020-10-05
Applicant: Intel Corporation
Inventor： Aleksandar Sutic , Zoran Zivkovic , Gilad Michael
Abstract: In an example method for training image signal processors, a reconstructed image is generated via an image signal processor based on a sensor image. An intermediate loss function is generated based on a comparison of an output of one or more corresponding layers of a computer vision network and a copy of the computer vision network. The output of the computer vision network is based on the reconstructed image. An image signal processor is trained based on the intermediate loss function.
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公开(公告)号：US11386293B2
公开(公告)日：2022-07-12
申请号：US17063414
申请日：2020-10-05
Applicant: Intel Corporation
Inventor： Aleksandar Sutic , Zoran Zivkovic , Gilad Michael
Abstract: In an example method for training image signal processors, a reconstructed image is generated via an image signal processor based on a sensor image. An intermediate loss function is generated based on a comparison of an output of one or more corresponding layers of a computer vision network and a copy of the computer vision network. The output of the computer vision network is based on the reconstructed image. An image signal processor is trained based on the intermediate loss function.
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Patent Agency Ranking
公开(公告)号：US10943335B2
公开(公告)日：2021-03-09
申请号：US16010335
申请日：2018-06-15
Applicant: Intel Corporation
Inventor： Jun Nishimura , Aleksandar Sutic
Abstract: A mechanism is described for facilitating hybrid tone mapping in camera systems according to one embodiment. A method of embodiments, as described herein, includes detecting a scene having a sequence of frames, and fusing the sequence of frames into a fused raw frame. The method may further include reconstructing the scene by performing global tone mapping and local tone mapping on the fused raw frame, and outputting an image reflecting the reconstructed scene based on the tone-mapped raw frame.
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公开(公告)号：US20190043177A1
公开(公告)日：2019-02-07
申请号：US16010335
申请日：2018-06-15
Applicant: Intel Corporation
Inventor： Jun Nishimura , Aleksandar Sutic
Abstract: A mechanism is described for facilitating hybrid tone mapping in camera systems according to one embodiment. A method of embodiments, as described herein, includes detecting a scene having a sequence of frames, and fusing the sequence of frames into a fused raw frame. The method may further include reconstructing the scene by performing global tone mapping and local tone mapping on the fused raw frame, and outputting an image reflecting the reconstructed scene based on the tone-mapped raw frame.
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5.发明授权公开(公告)号：US10755425B2
公开(公告)日：2020-08-25
申请号：US16116318
申请日：2018-08-29
Applicant: Intel Corporation
Inventor： Jun Nishimura , Timo Gerasimow , Sushma Rao , Chyuan-Tyng Wu , Aleksandar Sutic , Gilad Michael
Abstract: A mechanism is described for facilitating automatic tuning of image signal processors using reference images in image processing environments, according to one embodiment. A method of embodiments, as described herein, includes one or more processors to: receive images associated with one or more scenes captured by one or more cameras; access tuning parameters associated with functionalities within an image signal processor (ISP) pipeline; generate reference images based on the tuning parameters, wherein a reference image is associated with an image for each functionality within the ISP pipeline; and automatically tune the ISP pipeline based on selection of one or more of the reference images for one or more of the images for one or more of the functionalities.
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公开(公告)号：US10796200B2
公开(公告)日：2020-10-06
申请号：US15965158
申请日：2018-04-27
Applicant: Intel Corporation
Inventor： Aleksandar Sutic , Zoran Zivkovic , Gilad Michael
Abstract: In an example method for training image signal processors, a reconstructed image is generated via an image signal processor based on a sensor image. An intermediate loss function is generated based on a comparison of an output of one or more corresponding layers of a computer vision network and a copy of the computer vision network. The output of the computer vision network is based on the reconstructed image. An image signal processor is trained based on the intermediate loss function.
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公开(公告)号：US20190050682A1
公开(公告)日：2019-02-14
申请号：US15965158
申请日：2018-04-27
Applicant: Intel Corporation
Inventor： Aleksandar Sutic , Zoran Zivkovic , Gilad Michael
Abstract: In an example method for training image signal processors, a reconstructed image is generated via an image signal processor based on a sensor image. An intermediate loss function is generated based on a comparison of an output of one or more corresponding layers of a computer vision network and a copy of the computer vision network. The output of the computer vision network is based on the reconstructed image. An image signal processor is trained based on the intermediate loss function.
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