公开(公告)号：US20220295030A1

公开(公告)日：2022-09-15

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: H04N9/73 ,  G06V10/60 ,  G06V10/56 ,  H04N9/64 ,  G06V10/774 ,  G06V10/82 ,  G06V10/762 ,  G06V10/764

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：US20230273357A1

公开(公告)日：2023-08-31

申请号：US18311086

申请日：2023-05-02

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Ales LEONARDIS ,  Yannick VERDIE ,  Benjamin BUSAM ,  Steven George MCDONAGH ,  Barnabé MAS

IPC: G02B5/30 ,  G06T7/50 ,  G06V10/74 ,  G06V10/82

CPC classification number: G02B5/30 ,  G06T7/50 ,  G06V10/761 ,  G06V10/82

Abstract: An image processing apparatus for estimating a depth field over a field of view. The apparatus comprises one or more processors configured to receive a captured polarisation image representing a polarisation of light received at a first set of multiple locations over the field of view; process the captured polarisation image using a first trained neural network to form a first estimate of depths to one or more locations over the field of view; receive ranging data representing environmental distances from a datum to one or more locations over the field of view; and process the ranging data using a second trained neural network to form a second estimate of depths to a second set of multiple locations over the field of view.

公开(公告)号：US20220006998A1

公开(公告)日：2022-01-06

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

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：US20230115167A1

公开(公告)日：2023-04-13

申请号：US17902025

申请日：2022-09-02

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Carlo BIFFI ,  Steven George MCDONAGH ,  Ales LEONARDIS ,  Sarah PARISOT

IPC: G06V10/764 ,  G06V10/771 ,  G06N20/20

Abstract: A device for categorising regions in images is disclosed. The device comprising: an input for receiving a first set of images, and defining one or more regions of for each image of the first set of images and a categorisation for the one or more regions, and a second set of images, and a categorisation for each image of the second set; and a processor configured to train a first machine learning algorithm to categorise features in images by: processing the images of the first and second set using the first algorithm to estimate feature regions in the images and a categorisation for each of the feature regions, and training the first algorithm in dependence on the categorisations received for the images of the first and second sets.

公开(公告)号：US20210073957A1

公开(公告)日：2021-03-11

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 ,  G06T3/40 ,  H04N9/73 ,  H04N9/64 ,  G06N3/08

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.

公开(公告)号：US20210006760A1

公开(公告)日：2021-01-07

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: H04N9/73 ,  G06T7/90

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.