Super-resolution microscopy refers to a powerful set of imaging techniques that overcome the diffraction limit. Some of these techniques, the importance of which was recognized by the 2014 Nobel Prize for chemistry, are based on the concept of image reconstruction by spatially sparse sampling. Here...
SSGConv,即Spectral-wise Shared Group Convolution,是一种特殊的卷积操作,它在处理高光谱数据时对光谱通道进行分组并共享卷积核。具体来说,SSGConv将光谱通道分为多个组,并在每个组内应用共享的卷积核,但不同组之间的卷积核参数是独立的。这种操作可以减少模型的参数数量,同时允许模型捕捉光谱特征间的内在相关性。 具...
Super-resolution microscopy refers to a powerful set of imaging techniques that overcome the diffraction limit. Some of these techniques, the importance of which was recognized by the 2014 Nobel Prize for chemistry, are based on the concept of image reco
Spatial super-resolution in code aperture spectral imaging The Code Aperture Snapshot Spectral Imaging system (CASSI) senses the spectral information of a scene using the underlying concepts of compressive sensing ... H Arguello,HF Rueda,GR Arce 被引量: 23发表: 2012年 Spatial super-resolution in...
The purpose of spectral super-resolution (SSR) is to reconstruct hyperspectral image (HSI) from RGB image, which significantly reduces the difficulty of acquiring HSI. Most existing SSR methods adopt convolutional neural networks (CNNs) as the basic framework. The capability of CNNs to capture glo...
缺点:(由Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity提出)首先,作用于输入光谱特征图的全连通线性映射混合了每个token的信息,使得该方法无法有效捕获光谱特征图的相似性。 此外,由于token归一化操作,光谱自关注忽略了光谱的特殊性,无法重新校准光谱特征并捕获不同...
Wide-Field Spectral Super-Resolution Mapping of Optically Active Defects in Hexagonal Boron Nitride. , V.; Hofmann, S.; Watanabe, K.; Taniguchi, T.; Radenovic, A., Wide-field spectral super-resolution mapping of optically active defects in hBN. ... Jean,Comtet,Evgenii,... - 《Nano ...
In this paper, the theory of sparse reconstruction is merged with an extended harmonic model of vital signals, aiming at achieving a super-resolution spectral estimation of vital signals by additionally exploiting the inherent sparse prior information. Both simulated and experimental results show that ...
Spectral Super-Resolution; deep learning; image-based lighting; spectral rendering; High Dynamic Range image1. Introduction The images we commonly use are RGB images that contain three pieces of information: red, green, and blue. On the other hand, hyperspectral (HS) images retain wavelength ...
Spectral super-resolution; While each application of spectral sensing has different requirements for what is considered “spectral” resolution, we can broadly identify three main classes: (1) tristimulus; (2) multispectral; and (3) hyperspectral imaging. Pixel-based, red, green, blue (RGB) is ...