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公开(公告)号：US20250045888A1
公开(公告)日：2025-02-06
申请号：US18766108
申请日：2024-07-08
Applicant: Intel Corporation
Inventor： Attila Tamas Afra
Abstract: Systems and methods for tone mapping of high dynamic range (HDR) images for high-quality deep learning based processing are disclosed. In one embodiment, a graphics processor includes a media pipeline to generate media requests for processing images and an execution unit to receive media requests from the media pipeline. The execution unit is configured to compute an auto-exposure scale for an image to effectively tone map the image, to scale the image with the computed auto-exposure scale, and to apply a tone mapping operator including a log function to the image and scaling the log function to generate a tone mapped image.
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公开(公告)号：US20220207678A1
公开(公告)日：2022-06-30
申请号：US17482998
申请日：2021-09-23
Applicant: Intel Corporation
Inventor： Anbang Yao , Ming Lu , Yikai Wang , Shandong Wang , Yurong Chen , Sungye Kim , Attila Tamas Afra
Abstract: The present disclosure provides an apparatus and method of guided neural network model for image processing. An apparatus may comprise a guidance map generator, a synthesis network and an accelerator. The guidance map generator may receive a first image as a content image and a second image as a style image, and generate a first plurality of guidance maps and a second plurality of guidance maps, respectively from the first image and the second image. The synthesis network may synthesize the first plurality of guidance maps and the second plurality of guidance maps to determine guidance information. The accelerator may generate an output image by applying the style of the second image to the first image based on the guidance information.
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3.发明公开公开(公告)号：US20230267580A1
公开(公告)日：2023-08-24
申请号：US18068231
申请日：2022-12-19
Applicant: Intel Corporation
Inventor： Attila Tamas Afra
CPC classification number: G06T5/009 , G06F9/3877 , G06F17/11 , G06N3/08 , G06N3/0418 , G06T5/002 , G06T2207/20208
Abstract: Systems and methods for tone mapping of high dynamic range (HDR) images for high-quality deep learning based processing are disclosed. In one embodiment, a graphics processor includes a media pipeline to generate media requests for processing images and an execution unit to receive media requests from the media pipeline. The execution unit is configured to compute an auto-exposure scale for an image to effectively tone map the image, to scale the image with the computed auto-exposure scale, and to apply a tone mapping operator including a log function to the image and scaling the log function to generate a tone mapped image.
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公开(公告)号：US11670035B2
公开(公告)日：2023-06-06
申请号：US16819124
申请日：2020-03-15
Applicant: Intel Corporation
Inventor： Attila Tamas Afra , Johannes Guenther
CPC classification number: G06T15/005 , G06T5/002 , G06T7/20 , G06T15/06 , G06T2207/10016
Abstract: Apparatus and method for non-local means filtering using a media processing block of a graphics processor. For example, one embodiment of a processor comprises: ray tracing circuitry to execute a first set of one or more commands to traverse rays through a bounding volume hierarchy (BVH) to identify BVH nodes and/or primitives intersected by the ray; shader execution circuitry to execute one or more shaders responsive to a second set of one or more commands to render a sequence of image frames based on the BVH nodes and/or primitives intersected by the ray; and a media processor comprising motion estimation circuitry to execute a third set of one or more commands to perform non-local means filtering to remove noise from the sequence of image frames based on a mean pixel value collected across the sequence of image frames.
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公开(公告)号：US12205259B2
公开(公告)日：2025-01-21
申请号：US18491533
申请日：2023-10-20
Applicant: Intel Corporation
Inventor： Attila Tamas Afra
Abstract: Systems and methods for tone mapping of high dynamic range (HDR) images for high-quality deep learning based processing are disclosed. In one embodiment, a graphics processor includes a media pipeline to generate media requests for processing images and an execution unit to receive media requests from the media pipeline. The execution unit is configured to compute an auto-exposure scale for an image to effectively tone map the image, to scale the image with the computed auto-exposure scale, and to apply a tone mapping operator including a log function to the image and scaling the log function to generate a tone mapped image.
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Patent Agency Ranking
公开(公告)号：US12198250B2
公开(公告)日：2025-01-14
申请号：US16819116
申请日：2020-03-15
Applicant: Intel Corporation
Inventor： Johannes Guenther , Attila Tamas Afra
IPC: G06T15/06 , G06F7/485 , G06F7/487 , G06F7/499 , G06F7/57 , G06F9/30 , G06T1/20 , G06T15/00 , G06T17/10
Abstract: Apparatus and method for double-precision traversal and intersection. For example, one embodiment of an apparatus comprises: a bounding volume hierarchy (BVH) generator to construct a BVH comprising a plurality of hierarchically arranged BVH nodes; a ray storage to store rays to be traversed through one or more of the BVH nodes; ray traversal circuitry comprising a first plurality of 64-bit arithmetic logic units (ALUs) which natively support double-precision floating point operations, the ray traversal circuitry to use at least a first ALU of the one or more ALUs to traverse a first ray through a first BVH node at a double-precision floating point precision to generate double-precision floating point traversal results; a plurality of execution units (EUs) coupled to the ray traversal circuitry, at least one of the plurality of EUs comprising a second plurality of 64-bit ALUs capable of natively performing double-precision floating point operations, the at least one of the plurality of EUs to execute one or more intersection shaders to perform ray-primitive intersection testing at double-precision floating point precision based on the double-precision floating point traversal results.
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7.发明公开公开(公告)号：US20240127414A1
公开(公告)日：2024-04-18
申请号：US18491533
申请日：2023-10-20
Applicant: Intel Corporation
Inventor： Attila Tamas Afra
CPC classification number: G06T5/92 , G06F9/3877 , G06F17/11 , G06N3/0418 , G06N3/08 , G06T5/70 , G06T2207/20208
Abstract: Systems and methods for tone mapping of high dynamic range (HDR) images for high-quality deep learning based processing are disclosed. In one embodiment, a graphics processor includes a media pipeline to generate media requests for processing images and an execution unit to receive media requests from the media pipeline. The execution unit is configured to compute an auto-exposure scale for an image to effectively tone map the image, to scale the image with the computed auto-exposure scale, and to apply a tone mapping operator including a log function to the image and scaling the log function to generate a tone mapped image.
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公开(公告)号：US20240257316A1
公开(公告)日：2024-08-01
申请号：US18615050
申请日：2024-03-25
Applicant: Intel Corporation
Inventor： Anbang Yao , Ming Lu , Yikai Wang , Shandong Wang , Yurong Chen , Sungye Kim , Attila Tamas Afra
CPC classification number: G06T5/50 , G06N3/02 , G06T7/13 , G06V40/161 , G06V40/171 , G06T2207/20084 , G06T2207/30201
Abstract: The present disclosure provides an apparatus and method of guided neural network model for image processing. An apparatus may comprise a guidance map generator, a synthesis network and an accelerator. The guidance map generator may receive a first image as a content image and a second image as a style image, and generate a first plurality of guidance maps and a second plurality of guidance maps, respectively from the first image and the second image. The synthesis network may synthesize the first plurality of guidance maps and the second plurality of guidance maps to determine guidance information. The accelerator may generate an output image by applying the style of the second image to the first image based on the guidance information.
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公开(公告)号：US11972545B2
公开(公告)日：2024-04-30
申请号：US17482998
申请日：2021-09-23
Applicant: Intel Corporation
Inventor： Anbang Yao , Ming Lu , Yikai Wang , Shandong Wang , Yurong Chen , Sungye Kim , Attila Tamas Afra
CPC classification number: G06T5/50 , G06N3/02 , G06T7/13 , G06V40/161 , G06V40/171 , G06T2207/20084 , G06T2207/30201
Abstract: The present disclosure provides an apparatus and method of guided neural network model for image processing. An apparatus may comprise a guidance map generator, a synthesis network and an accelerator. The guidance map generator may receive a first image as a content image and a second image as a style image, and generate a first plurality of guidance maps and a second plurality of guidance maps, respectively from the first image and the second image. The synthesis network may synthesize the first plurality of guidance maps and the second plurality of guidance maps to determine guidance information. The accelerator may generate an output image by applying the style of the second image to the first image based on the guidance information.
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公开(公告)号：US11900575B2
公开(公告)日：2024-02-13
申请号：US18068231
申请日：2022-12-19
Applicant: Intel Corporation
Inventor： Attila Tamas Afra
CPC classification number: G06T5/009 , G06F9/3877 , G06F17/11 , G06N3/0418 , G06N3/08 , G06T5/002 , G06T2207/20208
Abstract: Systems and methods for tone mapping of high dynamic range (HDR) images for high-quality deep learning based processing are disclosed. In one embodiment, a graphics processor includes a media pipeline to generate media requests for processing images and an execution unit to receive media requests from the media pipeline. The execution unit is configured to compute an auto-exposure scale for an image to effectively tone map the image, to scale the image with the computed auto-exposure scale, and to apply a tone mapping operator including a log function to the image and scaling the log function to generate a tone mapped image.
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