Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5656
Title: Demosaicking with compressive sensing
Other Titles: Sikiştirilmiş algilama i?le demozai?kleme
Authors: İlbeği, H.
Gürbüz, A. C.
Issue Date: 2012
Source: 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, 18 April 2012 through 20 April 2012, Fethiye, Mugla, 90786
Abstract: Sparse signals can be recovered with less number of measurements compared to standard methods using Compressive Sensing (CS) theory. In digital cameras, color filter arrays (CFA) are used to sample each color band with less measurements than the normal. The color images are reconstructed using interpolation of measured pixel values. In this study, assuming images are sparse or compressible in a basis demosaicking is done with CS using the measurements from the CFA pattern. Separate, together and joint sparsity models are used for reconstructing images. Reconstructed sparsity levels for used CFA patterns are found. The images reconstructed with the proposed method are compared with the results from bilinear interpolation. © 2012 IEEE.
URI: https://doi.org/10.1109/SIU.2012.6204758
https://hdl.handle.net/20.500.11851/5656
ISBN: 9781467300568
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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