公开(公告)号：US20240362754A1

公开(公告)日：2024-10-31

申请号：US18764345

申请日：2024-07-04

申请人： SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

发明人： Jiao TIAN

IPC分类号： G06T5/60 ,  G06T5/50 ,  G06T7/30 ,  G06T7/60

CPC分类号： G06T5/60 ,  G06T5/50 ,  G06T7/30 ,  G06T7/60 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30004

摘要： Systems and methods for motion artifact simulation are provided. The systems may obtain a target image including a target object. The systems may determine a plurality of sub-periods of a time period corresponding to the target image. The systems may determine a plurality of motion vector fields of the target object in the plurality of sub-periods. Each motion vector field of the plurality of motion vector fields may correspond to one of the plurality of sub-periods. The systems may determine a plurality of reconstruction images of the target object corresponding to the plurality of sub-periods based on projection data of the target image. Each reconstruction image of the plurality of reconstruction images may correspond to one of the plurality of sub-periods. The systems may generate a motion artifact simulation image of the target object based on the plurality of motion vector fields and the plurality of reconstruction images.

公开(公告)号：US20240354907A1

公开(公告)日：2024-10-24

申请号：US18637317

申请日：2024-04-16

申请人： THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

发明人： Aydogan Ozcan ,  Hanlong Chen ,  Luzhe Huang

IPC分类号： G06T5/60 ,  G03H1/00 ,  G03H1/26 ,  G06T5/50 ,  G06T5/73

CPC分类号： G06T5/60 ,  G03H1/0005 ,  G03H1/26 ,  G06T5/50 ,  G06T5/73 ,  G03H2001/005 ,  G03H2210/55 ,  G03H2226/02 ,  G03H2227/03 ,  G06T2207/10056 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024

摘要： A deep learning framework, termed Fourier Imager Network (FIN) is disclosed that can perform end-to-end phase recovery and image reconstruction from raw holograms of new types of samples, exhibiting success in external generalization. The FIN architecture is based on spatial Fourier transform modules with the deep neural network that process the spatial frequencies of its inputs using learnable filters and a global receptive field. FIN exhibits superior generalization to new types of samples, while also being much faster in its image inference speed, completing the hologram reconstruction task in ˜0.04 s per 1 mm2 of the sample area. Beyond holographic microscopy and quantitative phase imaging applications, FIN and the underlying neural network architecture may open up various new opportunities to design broadly generalizable deep learning models in computational imaging and machine vision fields.

公开(公告)号：US20240347210A1

公开(公告)日：2024-10-17

申请号：US18291821

申请日：2022-08-05

申请人： 3M INNOVATIVE PROPERTIES COMPANY

发明人： Cameron M. Fabbri ,  Wenbo Dong ,  James L. Graham ,  Cody J. Olson

IPC分类号： G16H50/50 ,  G06T5/60 ,  G06T5/77 ,  G06T11/00 ,  G06V10/40 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

CPC分类号： G16H50/50 ,  G06T5/60 ,  G06T5/77 ,  G06T11/00 ,  G06V10/40 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06T2207/30036 ,  G06T2210/41

摘要： A method for displaying teeth after planned orthodontic treatment in order to show persons how their smiles will look after the treatment. The method includes receiving a digital 3D model of teeth or rendered images of teeth, and an image of a person such as a digital photo. The method uses a generator network to produce a generated image of the person showing teeth of the person, the person's smile, after the planned orthodontic treatment. The method uses a discriminator network processing input images, generated images, and real images to train the generator network through deep learning models to product a photo-realistic image of the person after the planned treatment.

公开(公告)号：US20240338933A1

公开(公告)日：2024-10-10

申请号：US18744895

申请日：2024-06-17

申请人： FUJIFILM Corporation

发明人： Seiya INAGI

IPC分类号： G06V10/774 ,  G06T5/20 ,  G06T5/50 ,  G06T5/60 ,  G06T5/70 ,  G06V10/40 ,  G06V10/82

CPC分类号： G06V10/774 ,  G06T5/20 ,  G06T5/50 ,  G06T5/60 ,  G06T5/70 ,  G06V10/40 ,  G06V10/82 ,  G06T2207/10116 ,  G06T2207/20032 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20212

摘要： Provided are an image generation apparatus, an image generation method, an image generation program, a learning device, and learning data that efficiently create appropriate learning data. An image generation apparatus (1) including a first processor receives an input of pseudo object region data (31) indicating any pseudo object region and an original image (33). The first processor generates a pseudo residual image (35) to be added to the original image based on the pseudo object region data (31). The first processor adds the generated pseudo residual image (35) and the original image (33) to generate a pseudo image (42) obtained in a case in which a pseudo object region is present in the original image (33). Thereby, the image generation apparatus (1) creates learning data consisting of a pair of the pseudo image (42) and the pseudo object region data (31).

公开(公告)号：US20240320799A1

公开(公告)日：2024-09-26

申请号：US18602325

申请日：2024-03-12

申请人： CANON KABUSHIKI KAISHA

发明人： NAOKI KAKINUMA

IPC分类号： G06T5/60 ,  G06T5/70

CPC分类号： G06T5/60 ,  G06T5/70 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084

摘要： An information processing apparatus that trains a machine learning model for reducing noise in a moving image is disclosed. The information processing apparatus performs a first training in which a first training dataset is applied to the machine learning model and a second training in which a second training dataset is applied to the machine learning model after the first training has ended. The trained machine learning model outputs an image as a processing result for a target frame for noise reduction from an input image consists of a plurality of frames including the target frame. The first training is to reduce noise, and the second training is to reduce degradation of image quality caused by variation between the plurality of frames.

公开(公告)号：US20240312124A1

公开(公告)日：2024-09-19

申请号：US18601156

申请日：2024-03-11

申请人： Realsee (Beijing) Technology Co., Ltd.

发明人： Zhen LI ,  Lingli WANG ,  Cihui PAN

IPC分类号： G06T15/50 ,  G06T5/60 ,  G06T5/70 ,  G06T7/40 ,  G06T15/04

CPC分类号： G06T15/506 ,  G06T5/60 ,  G06T5/70 ,  G06T7/40 ,  G06T15/04 ,  G06T2207/20084 ,  G06T2207/20208 ,  G06T2210/21

摘要： A method for global illumination representation in an indoor scene is provided. The method includes: based on a high dynamic range (HDR) original image of a target scene and a three-dimensional space model of the target scene, determining texture index information of the three-dimensional space model; generating an HDR map of the three-dimensional space model based on the texture index information of the three-dimensional space model; sampling and integrating the HDR map in a hemispheric direction of any surface point in the three-dimensional space model to obtain a noise illuminance map of the three-dimensional space model; performing denoising processing on the noise illuminance map of the three-dimensional space model by using a pre-trained Monte-Carlo-denoising neural network to obtain a noise-free illuminance map of the three-dimensional space model; and storing the three-dimensional space model, the HDR map, and the noise-free illuminance map as a global illumination representation of the target scene.

公开(公告)号：US20240311977A1

公开(公告)日：2024-09-19

申请号：US18684683

申请日：2021-08-25

申请人： NINGBO INSTITUTE OF TECHNOLOGY, BEIHANG UNIVERSITY

发明人： Shaofei WANG ,  Chong PAN ,  Jinjun WANG

IPC分类号： G06T5/60 ,  G01N15/00

CPC分类号： G06T5/60 ,  G01N15/00 ,  G01N2015/0003 ,  G06T2207/20084

摘要： The present disclosure provides a device and method for calibrating a particle image velocimetry (PIV) image based on laser linear arrays, and relates to the technical field of laser velocity measurement and image restoration. The present disclosure can solve the problem of image distortion caused by a shock wave of a model in a hypersonic wind tunnel, thereby realizing distortion capture and correction. The device includes a laser emission component configured to emit equidistant laser linear arrays; an optical component configured to perform light splitting on laser rays to form a laser grating in a test observation region; a camera configured to acquire a distorted laser grating image when a working condition of a wind tunnel test section model is adjusted to a working condition of a PIV test; and a background processor configured to calibrate and restore the distorted laser grating image with a neural network-based distortion-restoring calibration algorithm.

公开(公告)号：US20240296524A1

公开(公告)日：2024-09-05

申请号：US18591456

申请日：2024-02-29

申请人： Siemens Healthineers AG

发明人： Laura Pfaff ,  Tobias Würfl ,  Marcel Dominik Nickel ,  Thomas Benkert

IPC分类号： G06T5/60 ,  G06T5/50 ,  G06T5/70

CPC分类号： G06T5/60 ,  G06T5/50 ,  G06T5/70 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20216

摘要： A training method for a system with a machine learning model for de-noising images, including: providing numerous image datasets, wherein each image dataset includes a plurality of complex-valued image repetitions; performing a phase correction on the image repetitions, wherein for each provided image repetition of an image dataset a phase-corrected signal image is calculated by amending the phase of the complex-valued image repetition such that the phases of the image repetitions of the image dataset are consistent and such that the signal image comprises signal contribution of the image repetition; calculating a noise map for an image dataset based on the standard deviation between the signal images of this image dataset; and training the machine learning model based on the signal images, the noise map, and a loss function based on Stein's unbiased risk estimator.

公开(公告)号：US20240257949A1

公开(公告)日：2024-08-01

申请号：US18602468

申请日：2024-03-12

申请人： Subtle Medical, Inc.

发明人： Long WANG ,  Gajanana Keshava DATTA ,  Enhao GONG

IPC分类号： G16H30/40 ,  G06T5/50 ,  G06T5/60

CPC分类号： G16H30/40 ,  G06T5/50 ,  G06T5/60 ,  G06T2207/20081 ,  G06T2207/20084

摘要： Methods and systems are provided for improving quality of medical images. The deep learning method uses only noisy image for training, unlike the supervised methods that require pairs of noisy and ground truth images. By using the natural architecture search and exploring the search space, an improved network architecture is obtained for the enhancement tasks, which finds a balance between the noise distribution and the convolution features. The method provides the self-supervised samplers which utilize the correlation between the noise patterns and applies the dropout-enabled ensemble to further increase the enhancement effect.

公开(公告)号：US20240257318A1

公开(公告)日：2024-08-01

申请号：US18629462

申请日：2024-04-08

申请人： LightVision Inc.

发明人： Jin Ha JEONG ,  Moon Soo RA ,  Hea Yun LEE ,  Hyun Ji LEE

IPC分类号： G06T5/60 ,  G06T11/00 ,  H01J37/22 ,  H01J37/26

CPC分类号： G06T5/60 ,  G06T11/00 ,  H01J37/222 ,  G06T2207/10056 ,  G06T2207/20081 ,  H01J37/26

摘要： A system and a method of generating adaptively a TEM SADP image with high discernment according to inputted parameters are disclosed. The system for converting a diffraction pattern image includes a real diffraction pattern image refining unit configured to remove unnecessary information from a real diffraction pattern image; a synthetic diffraction pattern generating unit configured to obtain a synthetic diffraction pattern image corresponding to the real diffraction pattern image in which the unnecessary information is removed; and a real-synthetic interconversion algorithm learning unit configured to generate an image belonging to a real diffraction pattern domain from an image belonging to a synthetic diffraction pattern domain or generate an image belonging to the synthetic diffraction pattern domain from an image belonging to the real diffraction pattern domain by using at least one of the real diffraction pattern image in which the unnecessary information is removed and the synthetic diffraction pattern image.