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检索条件"任意字段=IEEE Symposium on Computational Intelligence for Image Processing"
8529 条 记 录,以下是21-30 订阅
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Difficulty-Aware Dynamic Network for Lightweight Exposure Correction
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ieee TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2024年 第6期34卷 5033-5048页
作者: Li, Ziwen Shao, Yuanjie Zhang, Feng Zhang, Jinpu Wang, Yuehuan Sang, Nong Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Natl Key Lab Sci & Technol Multispectral Informat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan 430074 Peoples R China
Recently, deep learning-based methods have been successfully applied to the field of exposure correction. However, most of the existing methods treat different locations of an image in the same way, ignoring the inhom... 详细信息
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Generative Artificial intelligence for Hyperspectral Sensor Data: A Review
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ieee JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2025年 18卷 6422-6439页
作者: Abuhani, Diaa Addeen Zualkernan, Imran Aldamani, Raghad Alshafai, Mohamed Amer Univ Sharjah Dept Comp Sci & Engn Sharjah 26666 U Arab Emirates
Airborne platforms and satellites provide rich sensor data in the form of hyperspectral images (HSI), which are crucial for numerous vision-related tasks, such as feature extraction, image enhancement, and data synthe... 详细信息
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Guest Editorial: Special Issue on Emerging computational intelligence Techniques to Address Challenges in Biomedical Data and Imaging
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ieee TRANSACTIONS ON EMERGING TOPICS IN computational intelligence 2023年 第2期7卷 292-294页
作者: Tanveer, M. Lin, Chin-Teng Ting, Chuan-Kang Andreu-Perez, Javier Indian Inst Technol Indore Dept Math Simrol India Univ Technol Sydney Computat Intelligence & Brain Comp Interface Lab Ultimo NSW 2007 Australia Natl Tsing Hua Univ Dept Power Mech Engn Hsinchu 300 Taiwan Univ Essex Sch Comp Sci & Elect Engn Colchester Essex England
The papers in this special section focus on emerging computational intelligent techniques to address the challenges in biomedical data and image processing.
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Eggs Separation Process by image processing.  18
Eggs Separation Process by Image Processing.
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18th International Joint symposium on Artificial intelligence and Natural Language processing (ISAI-NLP) / 4th International Conference on Artificial intelligence and Internet of Things (AIoT)
作者: Chumuang, Narumol Pinthong, Thidarat Muban Chombueng Rajabhat Univ Dep Digital Media Technol Ratchaburi Thailand Phetchaburi Rajabhat Univ Dep Business Informat Management Phetchaburi Thailand
The main objective of this research is the process of sorting chicken eggs using image processing techniques. The objective is to measure the size of chicken eggs. To control the separation of chicken eggs in the expe... 详细信息
来源: 评论
Coarse-to-Fine Low-Light image Enhancement With Light Restoration and Color Refinement
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ieee TRANSACTIONS ON EMERGING TOPICS IN computational intelligence 2024年 第1期8卷 591-603页
作者: Wu, Xu Lai, Zhihui Yu, Shiqi Zhou, Jie Liang, Zhuoqian Shen, Linlin Shenzhen Univ Comp Vis Inst Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518060 Peoples R China Shenzhen Univ Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China Shenzhen Univ Natl Engn Lab Big Data Syst Comp Technol Shenzhen 518060 Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc SZU Branch Shenzhen 518060 Peoples R China Coll Shandong Future Networks Res Inst Jinan 250002 Shandong Peoples R China Jinan Univ Coll Informat Sci & Technol Guangzhou 510632 Peoples R China
Low-light image enhancement aims to improve the illumination intensity while restoring color information. Despite recent advancements using deep learning methods, they still struggle with over or under-exposure in com... 详细信息
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Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind image Super-Resolution Supplementary Material
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ieee Transactions on image processing 2025年 34卷 3013-3024页
作者: Yuan, Jiang Ma, Ji Wang, Bo Hu, Weiming North China Electric Power University School of Control and Computer Engineering Beijing102206 China CASIA State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China ShanghaiTech University School of Information Science and Technology Shanghai201210 China
Implicit degradation modeling-based blind super-resolution (SR) has attracted more increasing attention in the community due to its excellent generalization to complex degradation scenarios and wide application range.... 详细信息
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LYT-NET: Lightweight YUV Transformer-Based Network for Low-Light image Enhancement
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ieee SIGNAL processing LETTERS 2025年 32卷 2065-2069页
作者: Brateanu, Alexandru Balmez, Raul Avram, Adrian Orhei, Ciprian Ancuti, Cosmin Univ Manchester Manchester M13 9PL Lancs England Univ Politehn Timisoara Timisoara 300006 Romania West Univ Timisoara Timisoara 300223 Romania
This letter introduces LYT-Net, a novel lightweight transformer-based model for low-light image enhancement. LYT-Net consists of several layers and detachable blocks, including our novel blocks-Channel-Wise Denoiser (... 详细信息
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Viewport-Independent Blind Quality Assessment of AI-Generated Omnidirectional images via Vision-Language Correspondence
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ieee SIGNAL processing LETTERS 2025年 32卷 1630-1634页
作者: Liu, Xuelin Yan, Jiebin Lai, Chenyi Li, Yang Fang, Yuming Jiangxi Univ Finance & Econ Sch Comp & Artificial Intelligence Nanchang 330032 Peoples R China
The advancement of deep generation technology has significantly enhanced the growth of artificial intelligence-generated content (AIGC). Among these, AI-generated omnidirectional images (AGOIs), hold considerable prom... 详细信息
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2025 ieee symposium on computational intelligence in Health and Medicine, CIHM 2025
2025 IEEE Symposium on Computational Intelligence in Health ...
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2025 ieee symposium on computational intelligence in Health and Medicine, CIHM 2025
The proceedings contain 17 papers. The topics discussed include: transforming medical practice: harnessing the power of big data and machine learning for predictive precision medicine;algebraic reproduction of triage ...
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Automotive Scenarios for Trajectory Tracking using Machine Learning Techniques and image processing  17
Automotive Scenarios for Trajectory Tracking using Machine L...
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17th ieee International symposium on Applied computational intelligence and Informatics, SACI 2023
作者: Moga, Delia Filip, Ioan Politehnica University of Timisoara Department of Automation and Applied Informatics Timisoara Romania
This paper presents a study on using innovative machine learning techniques that can be applied in automotive traffic scenarios to increase a vehicle's level of autonomy. The overtaking traffic scenario is treated... 详细信息
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