Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2021 -> Volume 33, Issue 3, March
Polyscale gradients residual demosaicking Author links open overlay panelM.S.Safna AsiqaW.R.Sam Emm
Oleh : M.S. Safna Asiq, W.R. Sam Emmanuel, King Saud University
Dibuat : 2022-02-12, dengan 0 file
Keyword : Bayer colour filter array, Polyscale gradients, Residual demosaicking
Url : http://www.sciencedirect.com/science/article/pii/S1319157817305554
Sumber pengambilan dokumen : web
Image acquisition through a single-sensor camera captures only a fraction of the image data renowned as the raw image. It uses the colour filter array to acquire only a single colour channel in each pixel location. The reconstruction of the so called raw image into a full colour image is known as demosaicking or interpolation. Demosaicking is a significant process in the imaging pipeline. It implicates the reconstruction of the missing two colour channels from an incomplete image obtained from a single-sensor digital camera. This paper proposes a new approach of combining polyscale gradients algorithm and residual demosaicking. The first phase utilizes the gradients at different scales and residual demosaicking (RD) involves subtraction of the pragmatic and the provisional pixel values in the residual province takes place in the second phase. The experimental results show that the proposed demosaicking algorithm outperforms the conventional demosaicking algorithms for the Kodak and McMaster (McM) dataset.
Image acquisition through a single-sensor camera captures only a fraction of the image data renowned as the raw image. It uses the colour filter array to acquire only a single colour channel in each pixel location. The reconstruction of the so called raw image into a full colour image is known as demosaicking or interpolation. Demosaicking is a significant process in the imaging pipeline. It implicates the reconstruction of the missing two colour channels from an incomplete image obtained from a single-sensor digital camera. This paper proposes a new approach of combining polyscale gradients algorithm and residual demosaicking. The first phase utilizes the gradients at different scales and residual demosaicking (RD) involves subtraction of the pragmatic and the provisional pixel values in the residual province takes place in the second phase. The experimental results show that the proposed demosaicking algorithm outperforms the conventional demosaicking algorithms for the Kodak and McMaster (McM) dataset.
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