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.