公开(公告)号：US11949996B2

公开(公告)日：2024-04-02

申请号：US17743216

申请日：2022-05-12

Applicant: Huawei Technologies Co., Ltd.

Inventor： Daniel Hernandez ,  Sarah Parisot ,  Ales Leonardis ,  Gregory Slabaugh ,  Steven George McDonagh

IPC: H04N23/88 ,  G06V10/56 ,  G06V10/60 ,  G06V10/762 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  H04N9/64

CPC classification number: H04N23/88 ,  G06V10/56 ,  G06V10/60 ,  G06V10/762 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  H04N9/646

Abstract: A device for estimating a scene illumination color for a source image is configured to: determine a set of candidate illuminants and for each of the candidate illuminants, determine a respective correction of the source image; for each of the candidate illuminants, apply the respective correction to the source image to form a corresponding set of corrected images; for each corrected image from the set of corrected images, implement a trained data-driven model to estimate a respective probability of achromaticity of the respective corrected image; and based on the estimated probabilities of achromaticity for the set of corrected images, obtain a final estimate of the scene illumination color for the source image. This approach allows for the evaluation of multiple candidate illuminates to determine an estimate of the scene illumination color.

公开(公告)号：US12143730B2

公开(公告)日：2024-11-12

申请号：US17031423

申请日：2020-09-24

Applicant: Huawei Technologies Co., Ltd.

Inventor： Steven George McDonagh ,  Sarah Parisot ,  Gregory Slabaugh ,  Zhenguo Li

IPC: H04N23/88 ,  G06T7/90 ,  H04N1/60 ,  G06N3/0985

Abstract: A processing entity generates a model for estimating scene illumination colour for a source image captured by a camera The processing entity acquires a set of images, captured by a respective camera, the set of images as a whole including images captured by multiple cameras; forms a set of tasks by assigning each image of the images set to a respective task such that images in the same task have in common that a the images are in a predetermined range; trains model parameters by repeatedly: selecting at least one of the tasks, forming an interim set of model parameters based on a first subset of the images of that task, estimating the quality of the interim set of model parameters against a second subset of the images of that task and updating the parameters of the model based on the interim set of parameters and the estimated quality.

公开(公告)号：US11943419B2

公开(公告)日：2024-03-26

申请号：US17479911

申请日：2021-09-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Benjamin Busam ,  Matthieu Hog ,  Steven George McDonagh ,  Gregory Slabaugh

IPC: G06T7/593 ,  G06N20/00 ,  H04N13/128 ,  H04N13/00

CPC classification number: H04N13/128 ,  G06N20/00 ,  G06T7/593 ,  G06T2207/10028 ,  H04N2013/0081

Abstract: An image processing device comprising a processor configured to generate a refocused image from an input image and an map indicating depth information for the image, by the steps of: for each of a plurality of planes associated with respective depths within the image: generating a depth mask having values indicating whether regions of the input image are within a specified range of the plane, wherein an assessment of whether a region is within the specified range of the plane is made through the evaluation of a differentiable function of the range between regions of the input image and the plane as determined from the map; generating a masked image from the input image and the generated depth mask; refocusing the masked image using a blurring kernel to generate a refocused partial image; and generating the refocussed image from the plurality of refocussed partial images.

公开(公告)号：US20230111287A1

公开(公告)日：2023-04-13

申请号：US18065405

申请日：2022-12-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xu Lan ,  Sarah Parisot ,  Steven George McDonagh ,  Weiran Huang

IPC: G06N20/00 ,  G06V10/74 ,  G06V10/764 ,  G06V10/77

Abstract: A computer system and method are provided for training a machine learning system to perform a classification task by classifying input data into one of a plurality of classes. The system is configured to: receive per class training data from which per class representations can be derived, wherein each class is described by multiple representations; process the training data to form, for at least one class, a first proxy for a relatively global portion of an item of training data and multiple proxies for distinct relatively local portions of the item of training data, each proxy corresponding to a representation of the data belonging to that class.

公开(公告)号：US11625815B2

公开(公告)日：2023-04-11

申请号：US17030038

申请日：2020-09-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Gregory Slabaugh ,  Youliang Yan ,  Fenglong Song ,  Gang Chen ,  Jiangwei Li ,  Tao Wang ,  Liu Liu ,  Ioannis Alexiou ,  Ioannis Marras ,  Sean Moran ,  Steven George McDonagh ,  Jose Costa Pereira ,  Viktor Vladimirovich Smirnov

IPC: G06T5/00 ,  G06N3/08 ,  G06T3/40 ,  H04N9/64 ,  H04N9/73 ,  G06N3/084 ,  H04N23/88

Abstract: An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.