Multiframe image estimation for coded aperture snapshot spectral imagers.
By David S. Kittle, Kerkil Choi, Ashwin A. Wagadarikar, David J. Brady. Applied Optics, 2010
321 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/0933560d71286f7d64b970bdf07929070ec5f9b2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Radu Timofte
- Yulun Zhang
- Lawrence Carin
- Ming-Hsuan Yang
- Chen Change Loy
- Lei Zhang
- Dacheng Tao
Citations in the corpus
- Rank Minimization for Snapshot Compressive Imaging (2018, methodology): “The object data [42] consists of 33 spectral bands with each of size 256 210 pixels.”
- Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction (2021, methodology): “Conventional model-based methods adopt hand-crafted priors such as sparsity [21, 26, 46], total variation [22, 51, 57], and non-local similarity [27, 52, 62] to regularize the reconstruction procedure.”
- Compressive Coded Aperture Spectral Imaging: An Introduction (2014, methodology): “Timevarying coded apertures can be realized by a spatial light modulator or by a lithographic mask actioned by a piezoelectric device [4], [15], [16].”
- High-quality hyperspectral reconstruction using a spectral prior (2017, methodology): “Temporal multiple-sampling has been introduced using a micro-translation stage [Kim et al. 2012a; Kittle et al. 2010], or a digital micro-mirror device (DMD) [Wu et al.”