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.

公开(公告)号：US12118695B2

公开(公告)日：2024-10-15

申请号：US17480548

申请日：2021-09-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Hao Guan ,  Gregory Slabaugh ,  Liu Liu ,  Sean Moran ,  Zhongqian Fu

IPC: G06T5/70

CPC classification number: G06T5/70 ,  G06T2207/20081

Abstract: One example image processing device is provided. The example image processing device can include at least one processor and one or more memories coupled to the at least one processor and storing programming instructions for execution by the at least one processor to estimate noise in an image, the image being represented by a set of pixels and each pixel of the set of pixels having a value associated with it on each of one or more channels, where estimating the noise comprises processing, using a first trained model that detects stochastic noise, data derived from the image to form a first noise estimate, processing, using a second trained model that detects extreme pixel values, data derived from the image to form a second noise estimate, and combining the first and second noise estimates to form an aggregated noise estimate.

公开(公告)号：US12190488B2

公开(公告)日：2025-01-07

申请号：US17480308

申请日：2021-09-21

Applicant: Huawei Technologies Co., Ltd.

Inventor： Sean Moran ,  Gregory Slabaugh

IPC: G06T5/92 ,  G06N20/00 ,  G06T5/10 ,  G06T5/20 ,  G06T5/70

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.