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公开(公告)号：US20220270346A1
公开(公告)日：2022-08-25
申请号：US17742704
申请日：2022-05-12
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Francesca BABILONI , Ioannis MARRAS , Gregory SLABAUGH , Stefanos ZAFEIRIOU
Abstract: An image processing device for identifying one or more characteristics of an input image, the device including a processor configured to: receive the input image, the input image extending along a first axis and a second axis; form a series of attribute maps based on the received input image; perform a first correlation operation by identifying regions in respect of which the patterns of multiple ones of the series of attribute maps are correlated, and forming a first output in dependence on that operation; perform a second correlation operation for identifying combinations of (i) attributes and (ii) portions of the image having common location in terms of the first axis, and forming a second output in dependence on that operation; and form a representation of the one or more characteristics of the input image in dependence on at least the first output and the second output.
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公开(公告)号：US20230085401A1
公开(公告)日：2023-03-16
申请号：US17800481
申请日：2021-02-08
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jiankang DENG , Stefanos ZAFEIRIOU
IPC: G06N3/08 , G06V10/82 , G06V10/764 , G06V10/74
Abstract: A method of training a neural network for classifying an image into one of a plurality of classes, the method comprising: extracting, from the neural network, a plurality of subclass center vectors for each class; inputting an image into the neural network, wherein the image is associated with a predetermined class; generating, using the neural network, an embedding vector corresponding to the input image; determining a similarity score between the embedding vector and each of the plurality of subclass center vectors; updating parameters of the neural network in dependence on a plurality of the similarity scores using an objective function; extracting a plurality of updated parameters from the neural network; and updating each subclass center vector in dependence on the extracted updated parameters.
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公开(公告)号：US20220301114A1
公开(公告)日：2022-09-22
申请号：US17831578
申请日：2022-06-03
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Ioannis MARRAS , Ioannis ALEXIOU , Gregory SLABAUGH , Stefanos ZAFEIRIOU
Abstract: An apparatus for denoising an image, the apparatus having a processor configured to receive an input image, implement a trained artificial intelligence model to form an estimate of a noise pattern in the input image and form an output image by subtracting the estimate of the noise pattern from the input image, the model being configured to form the estimate of the noise pattern such that the estimate of the noise pattern is representative of a noise pattern that is characteristic to a specific image sensor type.
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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
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
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