WavEnhancer:Unifying Wavelet and Transformer for Image Enhancement

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外文摘要：Image enhancement is a widely used technique in digital image processing that aims to improve image aes-thetics and visual quality.However,traditional methods of enhancement based on pixel-level or global-level modifications have limited effectiveness.Recently,as learning-based techniques gain popularity,various studies are now focusing on uti-lizing networks for image enhancement.However,these techniques often fail to optimize image frequency domains.This study addresses this gap by introducing a transformer-based model for improving images in the wavelet domain.The pro-posed model refines various frequency bands of an image and prioritizes local details and high-level features.Consequently,the proposed technique produces superior enhancement results.The proposed model's performance was assessed through comprehensive benchmark evaluations,and the results suggest it outperforms the state-of-the-art techniques.

外文关键词：

transformerwavelet transformimage enhancement

作者：

李梓诺、陈绪行、郭淑娜、王书强、潘治文

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作者单位：

Department of Computer and Information Science,University of Macau,Macao 999078,China

Research Center for Biomedical Information Technology,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China

基金：

Science and Technology Development Fund of Macau SAR of ChinaScience and Technology Development Fund of Macau SAR of ChinaNational Natural Science Foundation of ChinaDistinguished Young Scholars Fund of Guangdong Province of China

项目编号：

0087/2020/A20141/2023/RIA2621724032021B1515020019

出版年：

2024

DOI：

10.1007/s11390-024-3414-z

计算机科学技术学报(英文版)

中国计算机学会

计算机科学技术学报(英文版)

CSTPCD

影响因子：0.432

ISSN：1000-9000

年,卷(期)：2024.39(2)