Ntire 2022 spectral recovery challenge and data set
This paper reviews the third biennial challenge on spectral reconstruction from RGB images,
ie, the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB …
ie, the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB …
NTIRE 2024 challenge on low light image enhancement: Methods and results
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting
the proposed solutions and results. The aim of this challenge is to discover an effective …
the proposed solutions and results. The aim of this challenge is to discover an effective …
Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction
Existing leading methods for spectral reconstruction (SR) focus on designing deeper or
wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB …
wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB …
Degradation-aware unfolding half-shuffle transformer for spectral compressive imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral
image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from …
image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from …
Spectral enhanced rectangle transformer for hyperspectral image denoising
Denoising is a crucial step for hyperspectral image (HSI) applications. Though witnessing
the great power of deep learning, existing HSI denoising methods suffer from limitations in …
the great power of deep learning, existing HSI denoising methods suffer from limitations in …
Deep unfolding for snapshot compressive imaging
Snapshot compressive imaging (SCI) systems aim to capture high-dimensional (≥ 3 D)
images in a single shot using 2D detectors. SCI devices consist of two main parts: a …
images in a single shot using 2D detectors. SCI devices consist of two main parts: a …
Handheld snapshot multi-spectral camera at tens-of-megapixel resolution
Multi-spectral imaging is a fundamental tool characterizing the constituent energy of scene
radiation. However, current multi-spectral video cameras cannot scale up beyond megapixel …
radiation. However, current multi-spectral video cameras cannot scale up beyond megapixel …
TransCS: A transformer-based hybrid architecture for image compressed sensing
M Shen, H Gan, C Ning, Y Hua… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Well-known compressed sensing (CS) is widely used in image acquisition and
reconstruction. However, accurately reconstructing images from measurements at low …
reconstruction. However, accurately reconstructing images from measurements at low …
Residual degradation learning unfolding framework with mixing priors across spectral and spatial for compressive spectral imaging
Y Dong, D Gao, T Qiu, Y Li… - Proceedings of the …, 2023 - openaccess.thecvf.com
To acquire a snapshot spectral image, coded aperture snapshot spectral imaging (CASSI) is
proposed. A core problem of the CASSI system is to recover the reliable and fine underlying …
proposed. A core problem of the CASSI system is to recover the reliable and fine underlying …
Refined edge detection with cascaded and high-resolution convolutional network
Edge detection is represented as one of the most challenging tasks in computer vision, due
to the complexity of detecting the edges or boundaries in real-world images that contains …
to the complexity of detecting the edges or boundaries in real-world images that contains …