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公开(公告)号:US11917307B2
公开(公告)日:2024-02-27
申请号:US18151252
申请日:2023-01-06
Applicant: NVIDIA Corporation
Inventor: Animesh Khemka , Sean Midthun Pieper
IPC: H04N23/84 , H04N19/149
CPC classification number: H04N23/843 , H04N19/149
Abstract: A method of decompression includes decompressing a compressed image according to a power curve to generate a partially decompressed image, wherein the compressed image is decompressed from a second bit depth that is lower than a first bit-depth at which the image was generated.
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公开(公告)号:US11652982B2
公开(公告)日:2023-05-16
申请号:US17315130
申请日:2021-05-07
Applicant: NVIDIA Corporation
Inventor: Sean Midthun Pieper , Robin Brian Jenkin
CPC classification number: H04N17/002 , G05D1/0061 , G05D1/0223 , G06T7/0002 , G05D2201/0213 , G06T2207/10024
Abstract: In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.
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公开(公告)号:US20250095126A1
公开(公告)日:2025-03-20
申请号:US18634511
申请日:2024-04-12
Applicant: NVIDIA Corporation
Inventor: Sean Midthun Pieper , Robin Brian Jenkin
Abstract: Apparatuses, systems, and techniques to process luminance and/or radiance values of one or more images from one or more cameras using one or more neural networks to perform a machine vision task. In at least one embodiment, one or more neural networks determine detection difficulty levels of objects within the one or more images and performs a machine vision task based on the determined detection difficulty levels of objects within images associated with that ask.
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4.
公开(公告)号:US20240161221A1
公开(公告)日:2024-05-16
申请号:US17987109
申请日:2022-11-15
Applicant: NVIDIA Corporation
Inventor: Aki Petteri Niemi , Sean Midthun Pieper
CPC classification number: G06T1/20 , G06F13/24 , G06T1/60 , G06F2213/0026 , G06F2213/0038
Abstract: Disclosed are apparatuses, systems, and techniques that implementing fractionalized data transfers between processing devices in real-time data generating and streaming applications. The techniques include but are not limited to processing, by a first processing device, an image data to generate a plurality of portions of an image, responsive to generating a first portion of the plurality of portions of the image, storing the first portion in a first memory device of the first processing device, setting a completion indicator for the first portion, and causing the first portion to be provided to a second processing device.
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公开(公告)号:US20230360178A1
公开(公告)日:2023-11-09
申请号:US17736648
申请日:2022-05-04
Applicant: NVIDIA Corporation
Inventor: Samuel Hung , Sean Midthun Pieper , Eric Dujardin , Sung Hyun Hwang
IPC: G06T5/00
CPC classification number: G06T5/001 , G06T2207/20081 , G06T2207/10024 , G06T2207/10048
Abstract: A system, such as for use in an automobile, is configured to process image data that includes infrared values and visible light values (e.g., data generated by a red, green, blue, infrared (RGB-IR) sensor). The system determines how to blend IR data and visible light data together to generate optimal images according to current light levels. In embodiments, the system computes a scene detection value for the image data based on a comparison between the infrared values and the visible light values. The system can then determine an amount of infrared correction, a color correction factor, a color saturation factor, etc. to apply to the image data. The system then transforms the image data based on the amount of infrared correction, the color correction factor, the color saturation factor, etc. The transformed image data includes more information for low light scenes than is traditionally available, and thus produces higher quality images in embodiments.
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公开(公告)号:US09508318B2
公开(公告)日:2016-11-29
申请号:US13732246
申请日:2012-12-31
Applicant: NVIDIA Corporation
Inventor: Sean Midthun Pieper , Kurt Roland Wall , Ricardo J. Motta
IPC: G06F3/038 , G09G5/00 , G09G5/02 , H04N5/58 , H04N9/73 , H04N21/422 , H04N21/431
CPC classification number: G09G5/026 , G09G5/02 , G09G2340/06 , G09G2360/144 , H04N5/58 , H04N9/73 , H04N21/42202 , H04N21/4318
Abstract: Dynamic white point management techniques include determining a white point of ambient light proximate to a display. A color profile adjustment is determined based upon the determined white point and intensity of the ambient light. The image color space is transformed to a display color space for rendering on the display based on the determined adjusted to the color profile.
Abstract translation: 动态白点管理技术包括确定靠近显示器的环境光的白点。 基于所确定的环境光的白点和强度来确定颜色轮廓调整。 图像颜色空间被转换为显示颜色空间,用于基于所确定的调整到颜色轮廓的显示器进行渲染。
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公开(公告)号:US20250080863A1
公开(公告)日:2025-03-06
申请号:US18242395
申请日:2023-09-05
Applicant: NVIDIA Corporation
Inventor: Chengwu Cui , Sean Midthun Pieper , Du-Yong Ng , Douglas John Taylor
Abstract: Apparatuses, systems, and techniques for performing color correction are presented. In at least one embodiment, a color mapping model may be identified that maps colors, within a subspace of an input color space localized around a target color, to an adjusted color space and applied to an input image to adjust a value of one or more pixels of the input image that fall within the subspace. In at least one embodiment, a color mapping model may be initialized that maps colors, within a subspace of an input color space localized around a target color, to an adjusted color space. At least one parameter of the color mapping model may be adjusted to reduce an amount of visible artifacts produced by the color mapping model.
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8.
公开(公告)号:US20230336875A1
公开(公告)日:2023-10-19
申请号:US18296927
申请日:2023-04-06
Applicant: NVIDIA Corporation
Inventor: Sean Midthun Pieper , Robin Brian Jenkin , Haifeng Li , Niranjan Avadhanam
IPC: H04N23/73 , G06V10/143 , H04N23/11 , H04N23/74 , G02B5/20
CPC classification number: H04N23/73 , G06V10/143 , H04N23/11 , H04N23/74 , G02B5/20
Abstract: Apparatuses, systems, and techniques for reliable image data capture are disclosed herein. A system includes a sensor configured to receive light reflected off one or more objects in an environment. The sensor includes a first set of sensor pixels configured to detect a portion of the received light having wavelengths in the visible light spectrum. The sensor further includes a second set of sensor pixels configured to detect an additional portion of the received light having wavelengths in an infrared spectrum. The system further includes a filter component configured to reduce an intensity of the portion of the received light detected by the first set of sensor pixels while maintaining at least a minimum intensity of the additional portion of the received light detected by the second set of sensor pixels.
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公开(公告)号:US11758120B2
公开(公告)日:2023-09-12
申请号:US17315125
申请日:2021-05-07
Applicant: NVIDIA Corporation
Inventor: Sean Midthun Pieper , Robin Brian Jenkin
CPC classification number: H04N17/002 , G05D1/0061 , G05D1/0223 , G06T7/0002 , G05D2201/0213 , G06T2207/10024
Abstract: In one embodiment, a system determines pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs of the image, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs, where a contrast is calculated between the first pixel and the second pixel. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution.
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公开(公告)号:US20230065993A1
公开(公告)日:2023-03-02
申请号:US17461750
申请日:2021-08-30
Applicant: NVIDIA Corporation
Inventor: Animesh Khemka , Sean Midthun Pieper
IPC: H04N9/04 , H04N19/149
Abstract: Apparatuses, systems, and techniques to receive, at one or more processor associated with an image signal processing (ISP) pipeline, a compressed image generated by an image sensor, wherein the compressed image is captured at a first bit-depth associated with the image sensor and is compressed to a second bit-depth that is lower than the first bit-depth, and wherein the ISP is associated with a third bit-depth that is lower than the first bit-depth and higher than the second bit-depth; and decompress the compressed image according to a power curve to generate a partially decompressed image having the third bit-depth, wherein a plurality of regions of the partially decompressed image are decompressed at separate decompression amounts based on a corresponding pixel value of each region of the plurality of regions.
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