Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894955019> ?p ?o ?g. }
Showing items 1 to 49 of
49
with 100 items per page.
- W2894955019 abstract "espanolLas imagenes espectrales (SI) se utilizan comunmente en diferentes aplicaciones que involucran identificacion de materiales debido a que contienen informacion espacial (𝑥, 𝑦) y espectral (𝜆). Sin embargo, los metodos de adquisicion tradicionales emplean gran cantidad de datos, lo que conlleva a altos costos de almacenamiento y procesamiento. Muestreo compresivo (CS) se ha aplicado en SI con el fin de recuperar el cubo de datos a partir de un numero reducido de medidas. Las reconstrucciones se obtienen mediante algoritmos basados en la norma 𝑙₂ − 𝑙₁ cuya complejidad computacional crece en proporcion al numero de incognitas. En este trabajo, se propone un modelo de reconstruccion de resolucion multiple basado en el algoritmo iterativo de agrupamiento lineal simple (SLIC) para disminuir el numero de incognitas a recuperar. Los resultados de simulacion muestran que el metodo propuesto es hasta un 86% mas rapido que las reconstrucciones de resolucion completa. Ademas, el enfoque de MR obtiene una reconstruccion mas precisa en hasta 12dB de PSNR EnglishSpectral imaging (SI) is widely used in different applications involving material identification since it contains both spatial (𝑥, 𝑦) and spectral information (𝜆). However, traditional SI scanning methods involve massive amounts of data, which increase the cost of storing and processing. Compressive sensing (CS) theory has been applied in SI, such that the underlying data cube can be recovered from a reduced number of measures. Reconstructions are obtained by 𝑙₂ − 𝑙₁ norm-based algorithms whose computational complexity grows in proportion to the number of unknowns. In this paper, a multiresolution reconstruction model based on the simple linear iterative clustering (SLIC) is proposed to reduce the number of unknown values to recover. Simulation results show that the proposed method is up to 86% faster than the full-resolution reconstructions. Additionally, MR approach obtains more accurate reconstructions with improvements of up to 12dB of PSNR." @default.
- W2894955019 created "2018-10-12" @default.
- W2894955019 creator A5028665372 @default.
- W2894955019 creator A5057826111 @default.
- W2894955019 creator A5084055013 @default.
- W2894955019 date "2018-10-05" @default.
- W2894955019 modified "2023-09-25" @default.
- W2894955019 title "SLIC super-pixels for multi-resolution compressive spectral imaging reconstruction" @default.
- W2894955019 doi "https://doi.org/10.7149/opa.51.3.50304" @default.
- W2894955019 hasPublicationYear "2018" @default.
- W2894955019 type Work @default.
- W2894955019 sameAs 2894955019 @default.
- W2894955019 citedByCount "0" @default.
- W2894955019 crossrefType "journal-article" @default.
- W2894955019 hasAuthorship W2894955019A5028665372 @default.
- W2894955019 hasAuthorship W2894955019A5057826111 @default.
- W2894955019 hasAuthorship W2894955019A5084055013 @default.
- W2894955019 hasBestOaLocation W28949550191 @default.
- W2894955019 hasConcept C11413529 @default.
- W2894955019 hasConcept C120665830 @default.
- W2894955019 hasConcept C121332964 @default.
- W2894955019 hasConcept C142362112 @default.
- W2894955019 hasConcept C15708023 @default.
- W2894955019 hasConcept C160633673 @default.
- W2894955019 hasConcept C41008148 @default.
- W2894955019 hasConceptScore W2894955019C11413529 @default.
- W2894955019 hasConceptScore W2894955019C120665830 @default.
- W2894955019 hasConceptScore W2894955019C121332964 @default.
- W2894955019 hasConceptScore W2894955019C142362112 @default.
- W2894955019 hasConceptScore W2894955019C15708023 @default.
- W2894955019 hasConceptScore W2894955019C160633673 @default.
- W2894955019 hasConceptScore W2894955019C41008148 @default.
- W2894955019 hasLocation W28949550191 @default.
- W2894955019 hasOpenAccess W2894955019 @default.
- W2894955019 hasPrimaryLocation W28949550191 @default.
- W2894955019 hasRelatedWork W2094047744 @default.
- W2894955019 hasRelatedWork W2320510903 @default.
- W2894955019 hasRelatedWork W2514010594 @default.
- W2894955019 hasRelatedWork W2624502161 @default.
- W2894955019 hasRelatedWork W2740647293 @default.
- W2894955019 hasRelatedWork W2742816064 @default.
- W2894955019 hasRelatedWork W2748952813 @default.
- W2894955019 hasRelatedWork W2909108040 @default.
- W2894955019 hasRelatedWork W2915863155 @default.
- W2894955019 hasRelatedWork W3154493822 @default.
- W2894955019 isParatext "false" @default.
- W2894955019 isRetracted "false" @default.
- W2894955019 magId "2894955019" @default.
- W2894955019 workType "article" @default.