公开(公告)号：US20240095999A1

公开(公告)日：2024-03-21

申请号：US18520110

申请日：2023-11-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Attila Szabo ,  Shanxin YUAN ,  Manolis Vasileiadis ,  Yiren Zhou ,  Ales Leonardis

IPC: G06T15/10 ,  G06T7/50 ,  G06T15/06 ,  G06V10/44 ,  G06V10/56

CPC classification number: G06T15/10 ,  G06T7/50 ,  G06T15/06 ,  G06V10/44 ,  G06V10/56

Abstract: An image deformation apparatus comprising processors and a memory storing in non-transient form data defining program code executable by the processors to implement an image deformation model. The apparatus is configured to: receive an input image; extract arrangement parameters of a feature from the input image; extract appearance parameters of the feature from the input image; generate deformed arrangement parameters by modifying the location of at least one point of the feature; and render an output image comprising a deformed feature corresponding to the feature in dependence on the deformed arrangement parameters and the appearance parameters. The apparatus may enable the arrangement of the deformed feature of the output image to be controlled while maintaining the overall appearance of the feature of the input image.

公开(公告)号：US20230237627A1

公开(公告)日：2023-07-27

申请号：US18295253

申请日：2023-04-03

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Tianhong Dai ,  Shanxin YUAN ,  Xu Jia

IPC: G06T5/10 ,  G06T5/50 ,  G06T5/00 ,  G06T5/20

CPC classification number: G06T5/10 ,  G06T5/50 ,  G06T5/007 ,  G06T5/20 ,  G06T2207/20064 ,  G06T2207/20221 ,  G06T2207/20084 ,  G06T2207/20208 ,  H04N23/80

Abstract: Described herein is an image processing apparatus (701) comprising one or more processors (704) configured to: receive (601) a plurality of input images (301, 302, 303); for each input image, form (602) a set of decomposed data by decomposing the input image (301, 302, 303) or a filtered version thereof (307, 308, 309) into a plurality of frequency-specific components (313) each representing the occurrence of features of a respective frequency interval in the input image or the filtered version thereof; process (603) each set of decomposed data using one or more convolutional neural networks to form a combined image dataset (327); and subject (604) the combined image dataset (327) to a construction operation that is adapted for image construction from a plurality of frequency-specific components to thereby form an output image (333) representing a combination of the input images. The resulting HDR output image may have fewer artifacts and provide a better quality result. The apparatus is also computationally efficient, having a good balance between accuracy and efficiency.