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检索条件"任意字段=IEEE International Conference on Signal and Image Processing Applications"
79687 条 记 录,以下是171-180 订阅
排序:
SSRMamba: Efficient Visual State Space Model for Spectral Super-Resolution
SSRMamba: Efficient Visual State Space Model for Spectral Su...
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Li, Baisong Wang, Xingwang Xu, Haixiao College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Krowledge Engineering Ministry of Education Jilin University China
Spectral super-resolution, which reconstructs hyperspectral images (HSI) from a single RGB image, has garnered increasing attention. Due to the limitations of CNN structures in spectral modeling and the high computati... 详细信息
来源: 评论
BIAWDiff: Enhancing Low-Light images with Bio-Inspired Attention and Wavelet Diffusion
BIAWDiff: Enhancing Low-Light Images with Bio-Inspired Atten...
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Li, Zeyu Yang, Sheng Yang, Hanxiang Tang, Xiongxin Wu, Fengge Xu, Fanjiang Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Low-light image enhancement aims to improve visual quality under challenging lighting conditions while preserving details and color fidelity. Existing traditional algorithms and deep learning approaches, often struggl... 详细信息
来源: 评论
Exploiting Foundation Models for Label-Efficient Few-Shot Learning via Feature Coupling: A Case Study of cardiac CT Segmentation
Exploiting Foundation Models for Label-Efficient Few-Shot Le...
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Chen, Wei Li, Chen Zhou, Wenjuan Li, Yuhang Guo, Tianhang Tang, Yuhua College of Computer National University of Defense Technology Changsha China
The scarcity of labeled data poses a significant challenge for deep learning-based medical image segmentation. To address this, this study introduces the novel Foundation Model-based Few-Shot Segmentation (FM-FSS) par... 详细信息
来源: 评论
First-order State Space Model for Lightweight image Super-resolution
First-order State Space Model for Lightweight Image Super-re...
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Zhu, Yujie Zhang, Xinyi Lu, Yekai Yang, Guang Fang, Faming Zhang, Guixu School of Computer Science and Technology East China Normal University Shanghai China IT Department Guotai Junan Security Shanghai China
State space models (SSMs), particularly Mamba, have shown promise in NLP tasks and are increasingly applied to vision tasks. However, most Mamba-based vision models focus on network architecture and scan paths, with l... 详细信息
来源: 评论
Simulation Verification Method for image Sensor Interface processing Unit Based on UVM  5
Simulation Verification Method for Image Sensor Interface Pr...
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5th ieee international conference on Power, Electronics and Computer applications, ICPECA 2025
作者: Ma, Wenji Beijing Sunwise Information Technology Ltd. Department of FPGA Verification Organization Beijing China
image sensors are widely employed across various industries, including smart mobile devices, autonomous vehicles, and surveillance systems. The image Sensor Interface processing Unit is typically characterized by a hi... 详细信息
来源: 评论
A Novel Split Deep Unfolding Transformer for Pan-Sharpening
A Novel Split Deep Unfolding Transformer for Pan-Sharpening
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Chen, Jiannan Jiang, Zhizhuo Wang, Xueqian Li, Yaowen Wang, Huajie Liu, Yu Shenzhen International Graduate School Tsinghua University Shenzhen China Department of Electronic Engineering Tsinghua University Beijing China
Pan-sharpening is a commonly employed strategy to obtain high-resolution multispectral (HRMS) images. Existing deep unfolding networks for pan-sharpening suffer from ineffectively establishing the relationship between... 详细信息
来源: 评论
Medical image Authentication and Self-Recovery Using Fragile Watermarking in the Frequency Domain  6
Medical Image Authentication and Self-Recovery Using Fragile...
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6th ieee international conference on image processing, applications and Systems, IPAS 2025
作者: Bouarroudj, Riadh Harrou, Fouzi Zerrouki, Nabil Souami, Feryel Bellala, Fatma Zohra Sun, Ying University of Sciences and Technology Houari Boumedienne Department of Computer Science Algiers Algeria King Abdullah University of Science and Technology CEMSE Division Thuwal Saudi Arabia Center for Development of Advanced Technology DI2M Laboratory Algiers Algeria University of Algiers Benyoucef Benkhedda Department of Computer Science Algiers Algeria
The rapid growth in digital image sharing, driven by advancements in internet and communication technologies, has raised concerns about image integrity, especially in sensitive fields like healthcare. This paper prese... 详细信息
来源: 评论
Hyperspectral image Reconstruction with Unseen Material Detection
Hyperspectral Image Reconstruction with Unseen Material Dete...
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Ma, Ye Lin, Songnan Wen, Bihan School of Electrical and Electronic Engineering Nanyang Technological University Singapore
Reconstruction of hyperspectral images (HSIs) from their RGB measurements is an ill-posed inverse problem. The key to successful reconstruction relies on establishing an effective HSI prior, for which deep learning te... 详细信息
来源: 评论
An Abnormal Audio Generation Method for Fault Diagnosis of Power Transformers
An Abnormal Audio Generation Method for Fault Diagnosis of P...
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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Niu, Ben Wei, Yangjie Zhang, Ke Yu, Zhuoran Key Laboratory of Intelligent Computing in Medical Image Northeastern University Shenyang China
Existing deep learning-based models can achieve a prompt diagnosis of operational anomalies by analyzing the audios emitted from power transformers. However, the practical abnormal data are insufficient for model trai... 详细信息
来源: 评论
HPDNET: Hyper Prior Dependent Demosaic Neural Network  6
HPDNET: Hyper Prior Dependent Demosaic Neural Network
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6th ieee international conference on image processing, applications and Systems, IPAS 2025
作者: Seo, Youngil Jun, Sungho Lim, Dongpan Song, Seongwook Samsung Electronics System LSI Division Yongin Korea Republic of
Recent advancements in deep neural networks have shown remarkable improvements in image quality during the demosaicking process, surpassing conventional algorithms. However, these deep neural network techniques are of... 详细信息
来源: 评论