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公开(公告)号:US12125198B2
公开(公告)日:2024-10-22
申请号:US17474363
申请日:2021-09-14
Applicant: Siemens Healthineers AG
Inventor: Boris Mailhe , Mariappan S. Nadar , Simon Arberet , Mahmoud Mostapha
CPC classification number: G06T7/0012 , G06N20/00 , G06T5/00 , G06T5/80 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/20081
Abstract: For correction of an image from an imaging system, an inverse solution uses an imaging prior as a regularizer and a physics model of the imaging system. An invertible network is used as the deep-learnt generative model in the regularizer of the inverse solution with the physics model of the degradation behavior of the imaging system. The prior model based on the invertible network provides a closed-form expression of the prior probability, resulting in a more versatile or accurate probability prediction.
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公开(公告)号:US12106159B2
公开(公告)日:2024-10-01
申请号:US18340023
申请日:2023-06-22
Applicant: QSC, LLC
Inventor: Gerrit Eimbertus Rosenboom
IPC: G06F9/455 , G06F8/38 , G06F9/4401 , G06F9/54 , G06F13/42 , G06F3/16 , G06F8/61 , G06F9/445 , G06T5/00
CPC classification number: G06F9/541 , G06F8/38 , G06F9/4411 , G06F9/45533 , G06F9/45545 , G06F9/45558 , G06F13/4282 , G06F3/165 , G06F8/61 , G06F9/445 , G06F2009/45562 , G06F2009/45579 , G06F2213/0042 , G06T5/00
Abstract: The system of the present technology includes an embodiment that provides a host audio, video and control operating system configured to establish or interact with one or more virtual machines, each with a guest operating system.
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公开(公告)号:US20240323381A1
公开(公告)日:2024-09-26
申请号:US18733232
申请日:2024-06-04
Applicant: GENSQUARE LLC
Inventor: Min JANG
IPC: H04N19/124 , G06T5/00 , H04N1/409 , H04N19/107 , H04N19/117 , H04N19/137 , H04N19/14 , H04N19/159 , H04N19/174 , H04N19/176 , H04N19/194 , H04N19/46 , H04N19/82 , H04N19/86
CPC classification number: H04N19/124 , G06T5/00 , H04N1/409 , H04N19/107 , H04N19/117 , H04N19/137 , H04N19/14 , H04N19/159 , H04N19/174 , H04N19/176 , H04N19/194 , H04N19/46 , H04N19/82 , H04N19/86
Abstract: A method for processing image data can include determining a boundary strength per each 4-sample edge which is a boundary of a transform unit or a prediction unit and lies on an 8×8 sample grid, determining whether to apply a deblocking filtering on the 4-sample edge when the boundary strength of the 4-sample edge is not zero, selecting a deblocking filter to be applied on the 4-sample edge when it is determined to apply a deblocking filtering on the 4-sample edge, filtering the 4-sample edge by using the selected deblocking filter, and applying an edge offset when a sample adaptive offset (SAO) type indicates the edge offset.
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公开(公告)号:US20240315552A1
公开(公告)日:2024-09-26
申请号:US18680678
申请日:2024-05-31
Applicant: Alcon Inc.
Inventor: Edwin Jay Sarver , Max Hall
CPC classification number: A61B3/103 , G06T5/00 , G06T7/0012 , G06T2207/20081 , G06T2207/20084 , G06T2207/30041
Abstract: Certain aspects of the present disclosure provide a system for processing image data from an intraoperative diagnostic device in real-time during an ophthalmic procedure. The system comprises an image capture element that captures a grayscale image of a first size and an image processing element that scales the grayscale image from the first size to a second size. The system also comprises a two-stage classification model comprising: a feature extraction stage to process the scaled grayscale image and generate a feature vector based on the scaled grayscale image and a classification stage to process the feature vector and generate an output vector. The image processing element is further configured to determine an image quality of the obtained grayscale image based on the output vector for display to an operator and the image quality of the obtained grayscale image indicates a probability that the obtained grayscale image includes an artifact.
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公开(公告)号:US20240312208A1
公开(公告)日:2024-09-19
申请号:US18122269
申请日:2023-03-16
Applicant: Ashish GHOSH
Inventor: Ashish GHOSH , Himanshu SINGH , Saurabh SUMAN , Badri N. SUBUDHI , Vinit JAKHETIYA , T. VEERAKUMAR
CPC classification number: G06V20/41 , G06T5/00 , G06V10/62 , G06V10/70 , G06V10/7715 , G06V10/82 , G06V10/95 , G06V20/46 , G06V40/20 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196
Abstract: An action detection system for dark or low-light videos is provided to detect human action recognition in dark-light situations. The said system includes a novel deep learning architecture that involves an image enhancement module configured to enhance the low-light image frame of action video sequence followed by an action classification module, to classify the actions from the 3D features extracted from the enhanced image frames.
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公开(公告)号:US20240302300A1
公开(公告)日:2024-09-12
申请号:US18667352
申请日:2024-05-17
Applicant: Rapiscan Holdings, Inc.
Inventor: Simon Archambault
IPC: G01N23/18 , G01N23/04 , G01N23/083 , G01N23/10 , G06T5/00
CPC classification number: G01N23/18 , G01N23/04 , G01N23/083 , G01N23/10 , G06T5/00 , G01N2223/04 , G01N2223/3308 , G01N2223/401 , G01N2223/643 , G01N2223/652 , G06T2207/10116
Abstract: A method for detecting the maximum potential presence of a material in an object. The method includes obtaining raw x-ray image data comprising a plurality of pixels for the object from an X-ray scanning device, wherein each pixel of the plurality of pixels has associated therewith an attenuation value and an effective atomic number (Zeff) for the pixel. The method further includes converting, for each pixel having a Zeff value greater than a threshold effective atomic number (Zeff-threshold), the Zeff at the pixel to the Zeff-threshold while applying a correction factor to the attenuation value for the pixel to bring the attenuation value into correspondence with the conversion of the Zeff value for the pixel and determining a maximum potential amount of the material present at each pixel based on the corrected attenuation value at the pixel. This renders material more apparent in visual display.
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公开(公告)号:US20240289922A1
公开(公告)日:2024-08-29
申请号:US18430431
申请日:2024-02-01
Applicant: Apple Inc.
Inventor: Jim C. Chou , Yun Gong
IPC: G06T5/00 , G06T3/4046 , G06T3/4053 , G06T5/50 , G06T7/11
CPC classification number: G06T5/00 , G06T3/4046 , G06T3/4053 , G06T5/50 , G06T7/11 , G06T2207/20084 , G06T2207/20192 , G06T2207/20221
Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.
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公开(公告)号:US12073576B2
公开(公告)日:2024-08-27
申请号:US17675415
申请日:2022-02-18
Inventor: Han-Shin Lim
IPC: G06T7/55 , G06T7/593 , G06T17/20 , H04N13/128 , H04N13/271 , G06T5/00
CPC classification number: G06T7/55 , G06T7/593 , G06T17/20 , H04N13/128 , H04N13/271 , G06T5/00
Abstract: Disclosed herein is a method for generating a depth map from multi-view images, the method including receiving multi-view images and parameters thereof; generating an initial depth map, an initial normal map, and an initial reliability map for the multi-view images; performing selection of multiple initial vertices and triangulation based on the initial depth map and the initial normal map and generating depth values and normal values for the result of triangulation; performing regularization based on triangulation, selecting additional vertices in the initial depth map, and generating additional depth values and additional normal values based on the additional vertices and regularization; and refining the initial depth map into a refined depth map by replacing depth values and normal values having reliability below a preset level in the initial depth map and the initial normal map with the additional depth values and the additional normal values.
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公开(公告)号:US12051176B2
公开(公告)日:2024-07-30
申请号:US17343207
申请日:2021-06-09
Applicant: CANON KABUSHIKI KAISHA
Inventor: Tomoyuki Makihira , Hiroki Uchida , Ritsuya Tomita
IPC: G06K9/00 , G06N3/04 , G06N3/08 , G06T5/00 , G06T7/00 , G06T11/00 , G06T11/60 , G16H15/00 , G16H30/20 , G16H30/40 , G16H40/67 , G16H50/20 , G16H50/30 , G16H50/70
CPC classification number: G06T5/00 , G06N3/04 , G06N3/08 , G06T7/0014 , G06T11/001 , G06T11/60 , G16H15/00 , G16H30/20 , G16H30/40 , G16H40/67 , G16H50/20 , G16H50/30 , G16H50/70 , G06T2207/10101 , G06T2207/20081 , G06T2207/30041 , G06T2210/41
Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first medical image of an object under examination; an image quality improving unit configured to generate, from the obtained first medical image, a second medical image with image quality higher than image quality of the obtained first medical image using a learned model; a comparing unit configured to compare an analysis result obtained by analyzing the obtained first medical image and an analysis result obtained by analyzing the generated second medical image; and a display controlling unit configured to cause a comparison result obtained by the comparing unit to be displayed on a display unit.
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公开(公告)号:US20240245571A1
公开(公告)日:2024-07-25
申请号:US18561310
申请日:2022-05-24
Applicant: NOVASIGHT LTD.
Inventor: Ran YAM , Oren YEHEZKEL , Dan OZ , Tal SAMET
CPC classification number: A61H5/005 , G06T5/00 , G06T7/20 , G06V10/25 , A61H2201/5007 , A61H2201/5043 , G06T2207/10012 , G06T2207/10016 , G06V20/62 , G06V40/161
Abstract: Disclosed are methods and devices suitable for the dichoptic treatment of amblyopia, that in some embodiments comprise concurrently dichoptically displaying two different variants of a received image on a display screen so that each one of the two different variants is visible to only one eye of a subject, an amblyopic-eye image to the amblyopic-eye of a subject and a sighting-eye image to the sighting-eye of a subject, wherein prior to displaying a sighting-eye image, preparing the sighting-eye image for display from a received image by degrading at least a portion of the received image to yield the sighting-eye image having a degraded area which location is determined without reference to a determined gaze direction of a sighting-eye and/or of an amblyopic-eye of a subject.
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