Super-resolutionInfrared imageConvolutional neural networkMulti-modal imagingImage fusionIn this paper, we propose a deep-learning-based infrared-visible images fusion method based on encoder-decoder architecture. The image fusion task is reformulated as a problem of maintaining the structure and intensity...
Super-resolution localization microscopy provides a powerful tool to study biochemical mechanisms at single molecule level. Although the lateral position of the fluorescent dye molecules can be determined routinely with high precision, measurement of other modalities such as 3D and multicolor without the ...
SRAOD: Super-Resolution-Based Object Detection in Multimodal Remote Sensing Imagery 来自 Springer 喜欢 0 阅读量: 17 作者:BS Vidhyasagar,VSN Reddy,GV Kumar,M Sangeetha 摘要: This study explores the task of accurately detecting small objects in remote sensing imagery (RSI), which presents a ...
Structured illumination microscopy (SIM) is commonly recognized as a well suitable tool for live imaging because of its ability to acquire a super-resolution (SR) image from only a small number of illumination pattern-modulated images [1, 2]. However, conventional SIM reconstruction algorithm is ...
It used un-trained CNNs to solve a range of inverse problems in computer vision (image inpainting, super-resolution, denoising). Methods Assume the data generative process so that latent and common cause Z gives rise to \(X_m\), which in turn produces observed \(Y_m\), i.e. \(Z\...
Deep hierarchical pyramid network with high-frequency-aware differential architecture for super-resolution mapping. IEEE Trans Geosci Remote Sens. 2023;61:1–15. Google Scholar Nair RR, Singh T. Multi-sensor medical image fusion using pyramid-based DWT: a multi-resolution approach. 2019;13(9):...
Repository files navigation README MTSR-MRI: Combined Modality Translation and Super-Resolution for Magnetic Resonance Images (MIDL 2023) End-to-End Network for Multimodal Image Super-Resolution Prerequisites Brief Description Results AcknowledgementsAbout...
comparable super-resolution capability to the ground truth (GT). Moreover, we developed an easy-to-use plugin that enables both training and implementation of PRS-SIM for multimodal SIM platforms including 2D/3D and linear/nonlinear SIM. With PRS-SIM, we achieved long-term super-resolution live...
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models; Jianyuan Guo et al Improving Factuality and Reasoning in Language Models through Multiagent Debate; Yilun Du et al CHATEVAL: TOWARDS BETTER LLM-BASED EVALUATORS THROUGH MULTI-AGENT DEBATE; Chi-Min Chan et al Debating...
Joint image fusion and super-resolution for enhanced visualization via semi-coupled discriminative dictionary learning and advantage embedding Neurocomputing (2021) Z.Zhuet al. A novel multi-modality image fusion method based on image decomposition and sparse representation ...