FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2995631925> ?p ?o ?g. }

• W2995631925 endingPage "395" @default.
• W2995631925 startingPage "395" @default.
• W2995631925 abstract "Coded apertures with random patterns are extensively used in compressive spectral imagers to sample the incident scene in the image plane. Random samplings, however, are inadequate to capture the structural characteristics of the underlying signal due to the sparsity and structure nature of sensing matrices in spectral imagers. This paper proposes a new approach for super-resolution compressive spectral imaging via adaptive coding. In this method, coded apertures are optimally designed based on a two-tone adaptive compressive sensing (CS) framework to improve the reconstruction resolution and accuracy of the hyperspectral imager. A liquid crystal tunable filter (LCTF) is used to scan the incident scene in the spectral domain to successively select different spectral channels. The output of the LCTF is modulated by the adaptive coded aperture patterns and then projected onto a low-resolution detector array. The coded aperture patterns are implemented by a digital micromirror device (DMD) with higher resolution than that of the detector. Due to the strong correlation across the spectra, the recovered images from previous spectral channels can be used as a priori information to design the adaptive coded apertures for sensing subsequent spectral channels. In particular, the coded apertures are constructed from the a priori spectral images via a two-tone hard thresholding operation that respectively extracts the structural characteristics of bright and dark regions in the underlying scenes. Super-resolution image reconstruction within a spectral channel can be recovered from a few snapshots of low-resolution measurements. Since no additional side information of the spectral scene is needed, the proposed method does not increase the system complexity. Based on the mutual-coherence criterion, the proposed adaptive CS framework is proved theoretically to promote the sensing efficiency of the spectral images. Simulations and experiments are provided to demonstrate and assess the proposed adaptive coding method. Finally, the underlying concepts are extended to a multi-channel method to compress the hyperspectral data cube in the spatial and spectral domains simultaneously." @default.
• W2995631925 created "2019-12-26" @default.
• W2995631925 creator A5002566778 @default.
• W2995631925 creator A5005357824 @default.
• W2995631925 creator A5019242095 @default.
• W2995631925 creator A5031836304 @default.
• W2995631925 creator A5042339174 @default.
• W2995631925 creator A5042551057 @default.
• W2995631925 creator A5079457723 @default.
• W2995631925 creator A5085827531 @default.
• W2995631925 date "2020-02-28" @default.
• W2995631925 modified "2023-10-12" @default.
• W2995631925 title "Super-resolution compressive spectral imaging via two-tone adaptive coding" @default.
• W2995631925 cites W1968367053 @default.
• W2995631925 cites W1970762771 @default.
• W2995631925 cites W1977301496 @default.
• W2995631925 cites W1988386267 @default.
• W2995631925 cites W1994040806 @default.
• W2995631925 cites W1997164347 @default.
• W2995631925 cites W2005318476 @default.
• W2995631925 cites W2006045909 @default.
• W2995631925 cites W2020460649 @default.
• W2995631925 cites W2021997546 @default.
• W2995631925 cites W2022470997 @default.
• W2995631925 cites W2028349405 @default.
• W2995631925 cites W2029816605 @default.
• W2995631925 cites W2035283119 @default.
• W2995631925 cites W2042988631 @default.
• W2995631925 cites W2046357610 @default.
• W2995631925 cites W2048738324 @default.
• W2995631925 cites W2048976066 @default.
• W2995631925 cites W2049189005 @default.
• W2995631925 cites W2056672982 @default.
• W2995631925 cites W2057981926 @default.
• W2995631925 cites W2070145771 @default.
• W2995631925 cites W2070615500 @default.
• W2995631925 cites W2079319869 @default.
• W2995631925 cites W2080091028 @default.
• W2995631925 cites W2088924445 @default.
• W2995631925 cites W2097273723 @default.
• W2995631925 cites W2102017915 @default.
• W2995631925 cites W2107003353 @default.
• W2995631925 cites W2109357213 @default.
• W2995631925 cites W2109449402 @default.
• W2995631925 cites W2126607811 @default.
• W2995631925 cites W2127495569 @default.
• W2995631925 cites W2129638195 @default.
• W2995631925 cites W2145096794 @default.
• W2995631925 cites W2161815745 @default.
• W2995631925 cites W2162448125 @default.
• W2995631925 cites W2164452299 @default.
• W2995631925 cites W2168399082 @default.
• W2995631925 cites W2241521690 @default.
• W2995631925 cites W2343941580 @default.
• W2995631925 cites W2345446334 @default.
• W2995631925 cites W2533971697 @default.
• W2995631925 cites W2595155430 @default.
• W2995631925 cites W2740548191 @default.
• W2995631925 cites W2804640090 @default.
• W2995631925 cites W2891265088 @default.
• W2995631925 cites W2901589656 @default.
• W2995631925 cites W2903472399 @default.
• W2995631925 cites W2946655650 @default.
• W2995631925 cites W2963295317 @default.
• W2995631925 cites W2963689682 @default.
• W2995631925 cites W4250955649 @default.
• W2995631925 doi "https://doi.org/10.1364/prj.377665" @default.
• W2995631925 hasPublicationYear "2020" @default.
• W2995631925 type Work @default.
• W2995631925 sameAs 2995631925 @default.
• W2995631925 citedByCount "9" @default.
• W2995631925 countsByYear W29956319252020 @default.
• W2995631925 countsByYear W29956319252021 @default.
• W2995631925 countsByYear W29956319252022 @default.
• W2995631925 countsByYear W29956319252023 @default.
• W2995631925 crossrefType "journal-article" @default.
• W2995631925 hasAuthorship W2995631925A5002566778 @default.
• W2995631925 hasAuthorship W2995631925A5005357824 @default.
• W2995631925 hasAuthorship W2995631925A5019242095 @default.
• W2995631925 hasAuthorship W2995631925A5031836304 @default.
• W2995631925 hasAuthorship W2995631925A5042339174 @default.
• W2995631925 hasAuthorship W2995631925A5042551057 @default.
• W2995631925 hasAuthorship W2995631925A5079457723 @default.
• W2995631925 hasAuthorship W2995631925A5085827531 @default.
• W2995631925 hasConcept C115961682 @default.
• W2995631925 hasConcept C120665830 @default.
• W2995631925 hasConcept C121332964 @default.
• W2995631925 hasConcept C124851039 @default.
• W2995631925 hasConcept C124967146 @default.
• W2995631925 hasConcept C1276947 @default.
• W2995631925 hasConcept C141379421 @default.
• W2995631925 hasConcept C154945302 @default.
• W2995631925 hasConcept C159078339 @default.
• W2995631925 hasConcept C182183295 @default.
• W2995631925 hasConcept C18645525 @default.
• W2995631925 hasConcept C191178318 @default.
• W2995631925 hasConcept C2779464207 @default.
• W2995631925 hasConcept C31972630 @default.

• next