Ultra-high-definition (UHD) technology has attracted widespread attention due to its exceptional visual quality, but it also poses new challenges for low-light image enhancement (LLIE) techniques. UHD images inherently possess high computational complexity, leading existing UHD LLIE methods to employ high-magnification downsampling to reduce computational costs, which in turn results in information loss. The wavelet transform not only allows downsampling without loss of information, but also separates the image content from the noise. It enables state space models (SSMs) to avoid being affected by noise when modeling long sequences, thus making full use of the long-sequence modeling capability of SSMs. On this basis, we propose Wave-Mamba, a novel approach based on two pivotal insights derived from the wavelet domain: 1) most of the content information of an image exists in the low-frequency component, less in the high-frequency component. 2) The high-frequency component exerts a minimal influence on the outcomes of low-light enhancement. Specifically, to efficiently model global content information on UHD images, we proposed a low-frequency state space block (LFSSBlock) by improving SSMs to focus on restoring the information of low-frequency sub-bands. Moreover, we propose a high-frequency enhance block (HFEBlock) for high-frequency sub-band information, which uses the enhanced low-frequency information to correct the high-frequency information and effectively restore the correct high-frequency details. Through comprehensive evaluation, our method has demonstrated superior performance, significantly outshining current leading techniques while maintaining a more streamlined architecture. The code is available at https://github.com/AlexZou14/Wave-Mamba.
WDMamba: When Wavelet Degradation Prior Meets Vision Mamba for Image Dehazing
School of Computer Science and Technology, Anhui University of Technology（安徽理工大学计算机科学与技术学院）；Tsinghua Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）；School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics（南京航空航天大学计算机科学与技术学院）；College of Artificial Intelligence, Taiyuan University of Technology（太原科技大学人工智能学院）
Wavelet-based Mamba with Fourier Adjustment for Low-light Image Enhancement
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology（上海理工大学光电信息与计算机工程学院）；School of computer science and artificial intelligence, Liaoning Normal University（辽宁师范大学计算机与人工智能学院）；College of computer science and technology, Jilin University（吉林大学计算机科学与技术学院）；School of Computer, National University of Dense Technology（国防科技大学计算机学院）
Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution
State Key Laboratory of Physical Oceanography（物理海洋学国家重点实验室）；Frontiers Science Center for Deep Ocean Multispheres and Earth System（深海多球体与地球系统前沿科学中心）；Ocean University of China（中国海洋大学）；Faculty of Information Science and Engineering（信息科学与工程学院）；Department of Electrical and Computer Engineering（电气与计算机工程系）
CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration
School of Physics（物理学院）；Optoelectronic Engineering, Foshan University, Foshan 528225, China（光学电子工程学院，佛山大学，佛山528225，中国）；Guangdong-HongKong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, Foshan 528225, China（粤港澳联合智能微纳光电子技术实验室，佛山528225，中国）；School of Mechanical Electronic（机械电子学院）；Information Engineering, China University of Mining and Technology, Beijing 100083, China（信息工程学院，中国矿业大学，北京100083，中国）
Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
School of Communication and Information Engineering, Shanghai University（上海大学通信与信息工程学院）；College of Electronic Science, Air Force Aviation University（空军航空大学电子科学学院）；Intelligent Visual Information Perception Laboratory, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications（南京邮电大学先进技术研究院智能视觉信息感知实验室）；School of Computer Science and Technology, East China Normal University（华东师范大学计算机科学与技术学院）
Versatile and Efficient Medical Image Super-Resolution Via Frequency-Gated Mamba
Faculty of Engineering and Information Technology, University of Technology Sydney, Australia（工程与信息技术学院，悉尼技术大学，澳大利亚）；Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China（深圳先进技术研究所，中国科学院，中国）；College of Computer Science and Technology, Qingdao University, China（计算机科学与技术学院，青岛大学，中国）；Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, China（计算机科学与控制工程学院，深圳先进技术大学，中国）
Dual-domain Modulation Network for Lightweight Image Super-Resolution
Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications（模式识别与智能系统实验室，人工智能学院，北京邮电大学）；School of Microelectronics, Tianjin University（微电子学院，天津大学）；Institute of Advanced Technology, Nanjing University of Posts and Telecommunications（先进技术研究院，南京邮电大学）
Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans
School of Software Engineering, Sun Yat-sen University（中山大学软件工程学院）；School of Microelectronics, Shanghai University（上海大学微电子学院）；Electronic and Computer Engineering, The Hong Kong University of Science and Technology（香港科技大学电子与计算机工程系）；Ruijin Hospital, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属瑞金医院）；Eye & ENT Hospital, Fudan University（复旦大学附属眼耳鼻喉科医院）
UltraLight Med-Vision Mamba for Classification of Neoplastic Progression in Tubular Adenomas
Dept. of Electrical and Computer Engineering, University of Dayton, Dayton, OH USA（电气与计算机工程系，代顿大学）；Dept. of Pathology, University of Toledo Medical Center, Toledo, OH, USA（病理学系，托莱多医学中心）；Lead Mechanical Engineer, Honeywell International Inc., South Bend, IN, USA（霍尼韦尔国际公司机械工程师）；Dept. of Pathology, South Bend Medical Foundation, South Bend, IN, USA（病理学系，南本德医学基金会）
Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image Fusion
Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province, Nanchang Hangkong University（江西省光电信息科学与技术重点实验室，南昌航空大学）；ReLER, CCAI, Zhejiang University（ReLER、CCAI、浙江大学）；College of Engineering, Anhui Agricultural University（安徽农业大学工程学院）；School of Computer Science and Information Engineering, Hefei University of Technology（合肥工业大学计算机科学与信息工程学院）
Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration
National University of Defense Technology（国防科技大学）；HKUST(GZ)（香港理工大学）；Qilu University of Technology（青岛科技大学）；Technical University of Munich（慕尼黑技术大学）；TeleAI, China Telecom（TeleAI，中国电信）；Beihang University（北航）
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
Imperial College London（帝国理工学院）；Royal Brompton Hospital（皇家布朗普顿医院）；College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics（南京航空航天大学计算机科学与技术学院）；School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University（中山大学深圳校区生物医学工程学院）；Human Phenome Institute, Fudan University（复旦大学人类表型组研究院）；Inselspital, University of Bern（伯尔尼大学因塞尔医院）；Technical University of Munich（慕尼黑工业大学）
SFD-Mamba2Net: Structure-Guided Frequency-Enhanced Dual-Stream Mamba2 Network for Coronary Artery Segmentation
Sichuan Normal University（四川师范大学）；Education Big Data Collaborative Innovation Center of Sichuan 2011（四川省教育大数据协同创新中心）；The First Affiliated Hospital with Nanjing Medical University（南京医科大学第一附属医院）；Michigan Technological University（密歇根理工大学）；Kennesaw State University（肯尼索州立大学）
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining
Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）；Harbin Institute of Technology（哈尔滨工业大学）；Carnegie Mellon University（卡内基梅隆大学）；Pengcheng Laboratory（鹏城实验室）
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
School of Communication and Information Engineering, Shanghai University（上海大学通信与信息工程学院）；The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University（上海大学先进通信与数据科学研究院智能医学与AI放射技术实验室）；School of Health Science and Engineering, University of Shanghai for Science and Technology（上海科技大学健康科学与工程学院）；Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院儿童心脏科部）；School of Medical Instruments, Shanghai University of Medicine and Health Sciences（医学仪器学院，上海医学院与健康科学大学）
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
School of Computer Science and Technology, Zhejiang Gongshang University（浙江工商大学计算机科学与技术学院）；Tongxiang Hospital of Traditional Chinese Medicine（桐乡市中医院）；Prince Sattam Bin Abdulaziz University（萨塔姆·本·阿卜杜勒阿齐兹王子大学）；Qena University（奎纳大学）；Tampere University（坦佩雷大学）；Universidade Federal Fluminense（弗卢米嫩塞联邦大学）；Federal University of Ceara（塞阿拉联邦大学）；Firat University（菲拉特大学）；Systems Research Institute, Polish Academy of Sciences（波兰科学院系统研究所）；AGH University of Krakow（克拉科夫AGH大学）
State Key Laboratory of Physical Oceanography, Ocean University of China（中国海洋大学物理海洋学国家重点实验室）；School of Cyber Science and Technology, Sun Yat-Sen University（中山大学信息科学与技术学院）；Department of Electrical and Computer Engineering, Mississippi State University（密苏里州立大学电气与计算机工程系）
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation
Wuhan University of Technology（武汉理工大学）；Chinese Academy of Medical Sciences and Peking Union Medical College（中国医学科学院北京协和医学院）；Zhongnan Hospital of Wuhan University（武汉大学中南医院）
FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement
Guangxi Key Laboratory of Machine Vision and Intelligent Control（广西机器视觉与智能控制重点实验室）；Wuzhou University（梧州大学）；Faculty of Innovation Engineering（创新工程学院）；Macau University of Science and Technology（澳门科技大学）；Guilin University of Electronic Technology（桂林电子科技大学）；Shenzhen Maternity and Child Healthcare Hospital（深圳妇幼保健医院）；Southern Medical University（南方医科大学）；College of Big Data and Software Engineering（大数据与软件工程学院）；College of Electronical and Information Engineering（电子与信息工程学院）
FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation
Ji luan Academy, Nanchang University（井然学院，南昌大学）；School of Information Engineering, Nanchang University（信息工程学院，南昌大学）；State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research（水循环与水安全国家重点实验室，中国水利水电科学研究院）；Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong（诊断放射科，李嘉诚医学部，香港大学）；Department of Radiotherapy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University（放疗科，广东省人民医院，广东省医学科学院，南方医科大学）；Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University（SDU-NTU人工智能研究联合中心（C-FAIR），山东大学）；Department of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University（儿科，山东省立医院（附属山东第一医科大学））
DEPFusion: Dual-Domain Enhancement and Priority-Guided Mamba Fusion for UAV Multispectral Object Detection
School of Information Engineering, Guangdong University of Technology（广东工业大学信息工程学院）；School of Electronic and Information Engineering, South China University of Technology（华南理工大学电子信息学院）；School of Artificial Intelligence, XiDian University（西安电子科技大学人工智能学院）
MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation
Guangxi Key Laboratory of Machine Vision and Intelligent Control（广西机器视觉与智能控制重点实验室）；Wuzhou University（梧州大学）；College of Electronical and Information Engineering（电子信息工程学院）；Wuzhou Medical College（梧州医学院）；School of Microelectronics（微电子学院）；Southern Medical University（南方医科大学）
FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation
School of Artificial Intelligence and Computer Science, Nantong University, China（人工智能与计算机科学学院，南通大学）；School of Information Science and Technology, Nantong University, China（信息科学与技术学院，南通大学）
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；University of Electronic Science and Technology of China（电子科技大学）；Wuhan University（武汉大学）；Shanghai Jiao Tong University（上海交通大学）；Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR)（新加坡科技研究局高性能计算研究所）；Imperial College London（伦敦帝国学院）；The Hong Kong University of Science and Technology（香港科技大学）
FSCM: Frequency-Enhanced Spatial-Spectral Coupled Mamba for Infrared Hyperspectral Image Colorization
School of Electronic and Optical Engineering, Nanjing University of Science and Technology（南京理工大学电子与光学工程学院）；School of Mechanical Engineering, University of Science and Technology Beijing（北京科技大学机械工程学院）；School of Instrument and Electronics, North University of China（北方大学仪器与电子学院）
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
State Key Laboratory of Complex and Critical Software Environment（复杂与关键软件环境国家重点实验室）；Beihang University（北京航空航天大学）；School of Computer Science and Engineering（计算机科学与工程学院）
Robust Real-Time Endoscopic Stereo Matching under Fuzzy Tissue Boundaries
The School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China（生物医学工程学院，上海交通大学）；Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University, Hangzhou 310018, China（电子设计自动化技术创新中心，杭州电子科技大学）
