公开(公告)号：US20220277430A1

公开(公告)日：2022-09-01

申请号：US17742703

申请日：2022-05-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Filippos KOKKINOS ,  Ioannis MARRAS ,  Matteo MAGGIONI ,  Stefanos ZAFEIRIOU ,  Gregory SLABAUGH

IPC: G06T5/20 ,  G06V10/44 ,  G06V10/82 ,  G06V10/22

Abstract: An image processor for transforming an input image, the image processor being configured to implement a trained artificial intelligence model, wherein the image processor is configured to: receive the input image; based on one or both of (i) the content of the input image and (ii) features extracted from the input image, process the image by the trained artificial intelligence model to: (i) determine a set of image filters; and (ii) for each of a plurality of subregions of the image, select an image filter from the set of image filters; and for each of the plurality of subregions of the image, apply the respective image filter to the subregion or to features extracted from that subregion. This may allow for differentiable selection of filters from a discrete learnable and decorrelated group of filters to allow for content based spatial adaptations

公开(公告)号：US20220247889A1

公开(公告)日：2022-08-04

申请号：US17721425

申请日：2022-04-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Francesca BABILONI ,  Ioannis MARRAS ,  Ales LEONARDIS ,  Gregory SLABAUGH

IPC: H04N1/64 ,  G06T3/40

Abstract: An image processor comprising a plurality of processing modules configured to transform a raw image into an output image, the modules comprising a first module and a second module, each of which implements a respective trained artificial intelligence model, wherein: the first module is configured to implement an image transformation operation that recovers luminance from the raw image; and the second module is configured to implement an image transformation operation that recovers chrominance from the raw image.

公开(公告)号：US20220036523A1

公开(公告)日：2022-02-03

申请号：US17480308

申请日：2021-09-21

Applicant: Huawei Technologies Co., Ltd.

Inventor： Sean MORAN ,  Gregory SLABAUGH

IPC: G06T5/00 ,  G06N20/00 ,  G06T5/20 ,  G06T5/10

Abstract: An image processing module configured to implement a multi-part trained artificial intelligence model, wherein the image processing module is configured to: receive an input image; implement a first part of the model to determine a first transformation for the image in a first colour space; apply the first transformation to the image to form a first adjusted image; implement a second part of the model to determine a second transformation for the image in a second colour space; apply the second transformation to the first adjusted image to form a second adjusted image; and output an image derived from the second adjusted image.

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.