公开(公告)号：US12165346B2

公开(公告)日：2024-12-10

申请号：US17969992

申请日：2022-10-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jifei Song ,  Benjamin Busam ,  Eduardo Perez Pellitero ,  Gregory Slabaugh ,  Ales Leonardis

IPC: G06T7/00 ,  G06T7/593 ,  H04N13/15 ,  H04N13/239 ,  H04N13/257 ,  H04N13/271 ,  H04N25/13 ,  H04N13/00

Abstract: The present disclosure relates to methods and devices for performing depth estimation on image data. In one example, a device performs depth estimation on first and second images captured using one or more cameras having a color filter array. Each image of the first and second images comprises multiple color channels. Each color channel of the multiple color channels corresponds to a respective color channel of the color filter array. The device performs the depth estimation by estimating disparity from the color channels of the first and second images.

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：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.