Decision-Based Demosaicking Algorithm Using Bayesian Theorem
In this paper, we introduce a new color filter array interpolation based on edge map prediction using the Bayesian theorem. The edge information obtained at the position of the green component sampled in the quincunx grid using the Bayer pattern is used to predict the edge of the red and blue compon...
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doaj-3939d9020bb7472493591bf416c646a42021-03-29T21:11:32ZengIEEEIEEE Access2169-35362018-01-016481364814610.1109/ACCESS.2018.28680528452901Decision-Based Demosaicking Algorithm Using Bayesian TheoremDaejun Park0https://orcid.org/0000-0001-9255-071XJechang Jeong1Department of Electronics and Computer Engineering, Hanyang University, Seoul, South KoreaDepartment of Electronics and Computer Engineering, Hanyang University, Seoul, South KoreaIn this paper, we introduce a new color filter array interpolation based on edge map prediction using the Bayesian theorem. The edge information obtained at the position of the green component sampled in the quincunx grid using the Bayer pattern is used to predict the edge of the red and blue component positions distributed in the rectangular grid. In this process, the edge distribution of the entire image, local area, and nearest neighbors is analyzed to determine the smooth/edge characteristics stochastically. If the pixels at the red and blue positions are determined to be edge pixels, the edge direction is inherited from the edge pixels of the local region. By combining a new decision technique with directional weighted interpolation in the green plane reconstruction process, the interpolation accuracy can be improved compared with the existing demosaicking algorithms. After interpolating the green channel, the color difference between the interpolated green channel and the red/blue channel is used to refine the reconstructed green plane. The other color planes can then be interpolated using this refined green plane. Experimental results show that our algorithm improves both the objective and subjective image qualities compared with the conventional state-of-the-art demosaicking algorithms.https://ieeexplore.ieee.org/document/8452901/Color filter array interpolationdemosaickingdecision-based interpolationedge map predictionBayesian theoremBayer pattern |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daejun Park Jechang Jeong |
spellingShingle |
Daejun Park Jechang Jeong Decision-Based Demosaicking Algorithm Using Bayesian Theorem IEEE Access Color filter array interpolation demosaicking decision-based interpolation edge map prediction Bayesian theorem Bayer pattern |
author_facet |
Daejun Park Jechang Jeong |
author_sort |
Daejun Park |
title |
Decision-Based Demosaicking Algorithm Using Bayesian Theorem |
title_short |
Decision-Based Demosaicking Algorithm Using Bayesian Theorem |
title_full |
Decision-Based Demosaicking Algorithm Using Bayesian Theorem |
title_fullStr |
Decision-Based Demosaicking Algorithm Using Bayesian Theorem |
title_full_unstemmed |
Decision-Based Demosaicking Algorithm Using Bayesian Theorem |
title_sort |
decision-based demosaicking algorithm using bayesian theorem |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
In this paper, we introduce a new color filter array interpolation based on edge map prediction using the Bayesian theorem. The edge information obtained at the position of the green component sampled in the quincunx grid using the Bayer pattern is used to predict the edge of the red and blue component positions distributed in the rectangular grid. In this process, the edge distribution of the entire image, local area, and nearest neighbors is analyzed to determine the smooth/edge characteristics stochastically. If the pixels at the red and blue positions are determined to be edge pixels, the edge direction is inherited from the edge pixels of the local region. By combining a new decision technique with directional weighted interpolation in the green plane reconstruction process, the interpolation accuracy can be improved compared with the existing demosaicking algorithms. After interpolating the green channel, the color difference between the interpolated green channel and the red/blue channel is used to refine the reconstructed green plane. The other color planes can then be interpolated using this refined green plane. Experimental results show that our algorithm improves both the objective and subjective image qualities compared with the conventional state-of-the-art demosaicking algorithms. |
topic |
Color filter array interpolation demosaicking decision-based interpolation edge map prediction Bayesian theorem Bayer pattern |
url |
https://ieeexplore.ieee.org/document/8452901/ |
work_keys_str_mv |
AT daejunpark decisionbaseddemosaickingalgorithmusingbayesiantheorem AT jechangjeong decisionbaseddemosaickingalgorithmusingbayesiantheorem |
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1724193391340683264 |