公开(公告)号：US11763432B2

公开(公告)日：2023-09-19

申请号：US17679400

申请日：2022-02-24

申请人： XI'AN UNIVERSITY OF POSTS & TELECOMMUNICATIONS

发明人： Weihua Liu ,  Biyan Ma ,  Ying Liu ,  Yanchao Gong ,  Fuping Wang

IPC分类号： G06T5/00 ,  G06T5/50

CPC分类号： G06T5/009 ,  G06T5/50 ,  G06T2207/10024 ,  G06T2207/20221

摘要： The present disclosure provides a multi-exposure image fusion (MEF) method based on a feature distribution weight of a multi-exposure image, including: performing color space transformation (CST) on an image, determining a luminance distribution weight of the image, determining an exposure distribution weight of the image, determining a local gradient weight of the image, determining a final weight, and determining a fused image. The present disclosure combines the luminance distribution weight of the image, the exposure distribution weight of the image and the local gradient weight of the image to obtain the final weight, and fuses the input image and the weight with the existing pyramid-based multi-resolution fusion method to obtain the fused image, thereby solving the technical problem that an existing MEF method does not consider the overall feature distribution of the multi-exposure image.