Mtltispectral Image Enhancement with extended Offset-sparsity Decomposition (CROSBI ID 659112)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tian, Long ; Du, Qian ; Younan, Nicolas ; Kopriva, Ivica
engleski
Mtltispectral Image Enhancement with extended Offset-sparsity Decomposition
In this paper, the extended offset-sparsity decomposition methods are applied to multispectral image for enhancement, which contain principle component analysis of offset-sparsity decomposition (PCA-OSD) method and pseudo-I channel offset-sparsity decomposition method. The PCA and pseudo-I channel method could reduce the negative impact on of enhancement in the spectral domain. On the other hand, OSD enhances the image by increasing the sparsity, which leads to lower entropy with more data information. The extended sharpness and contrast quality measurements are applied for multispectral images. The experimental results demonstrate that extended OSD offers better performance of enhancement with acceptable spectral affection.
principle component analysis (PCA) ; offset-sparsity decomposition (OSD) ; Pseudo-I channel ; Multispectral image ; quality measurement
Rad je rezultat neformalne znanstvene suradnje Ivice Kopriva sa Instituta Ruđer Bošković i profesorice Qian Du, Mississippi State University, SAD.
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Podaci o prilogu
4383-4386.
2016.
objavljeno
10.1109/IGARSS.2016.7730142
Podaci o matičnoj publikaciji
Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International
Wu, Ji ; Yin, Yaqiu
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)
978-1-5090-3332-4
2153-7003
Podaci o skupu
Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International
poster
10.07.2016-15.07.2016
Peking, Kina
Povezanost rada
Matematika, Računarstvo