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A Comparative Study of Image Demosaicing

Gurpreet Kaur1 , Jaskaranjit Kaur2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-7 , Page no. 98-102, Jul-2015

Online published on Jul 30, 2015

Copyright © Gurpreet Kaur , Jaskaranjit Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Gurpreet Kaur , Jaskaranjit Kaur, “A Comparative Study of Image Demosaicing,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.7, pp.98-102, 2015.

MLA Style Citation: Gurpreet Kaur , Jaskaranjit Kaur "A Comparative Study of Image Demosaicing." International Journal of Computer Sciences and Engineering 3.7 (2015): 98-102.

APA Style Citation: Gurpreet Kaur , Jaskaranjit Kaur, (2015). A Comparative Study of Image Demosaicing. International Journal of Computer Sciences and Engineering, 3(7), 98-102.

BibTex Style Citation:
@article{Kaur_2015,
author = {Gurpreet Kaur , Jaskaranjit Kaur},
title = {A Comparative Study of Image Demosaicing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2015},
volume = {3},
Issue = {7},
month = {7},
year = {2015},
issn = {2347-2693},
pages = {98-102},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=582},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=582
TI - A Comparative Study of Image Demosaicing
T2 - International Journal of Computer Sciences and Engineering
AU - Gurpreet Kaur , Jaskaranjit Kaur
PY - 2015
DA - 2015/07/30
PB - IJCSE, Indore, INDIA
SP - 98-102
IS - 7
VL - 3
SN - 2347-2693
ER -

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Abstract

Digital cameras captures image by using a single image sensor overlaid with a Colour Filter Array (CFA), so image demosaicing is applied to render these images into a viewable format. Image demosaicing is the technique of digital image processing that reconstructs missing color pixels using incomplete color samples. Today Image Demosaicing becomes a major area of research. Bayer Pattern CFA which can be expressed as square matrices is most familiar among the various CFA patterns. The methods of recovering full-color images from a CFA-based detector are commonly referred as colour interpolation or colour demosaicing algorithms. In this paper, we have critically analyzed various demosaicing algorithms and also covered its basic methods and various common demosaicing artifacts.

Key-Words / Index Term

CFA, Image Demosaicing, Bayer Pattern, Colour interpolation

References

[1] Ling Shao, Amin Ur Rehman, “Image demosaicing using content and colour-correlation analysis”, Science Direct, Signal Processing 103, 2014, pp 84-91.
[2] Xiangdong Chen, Liwen He, Gwanggil Jeon, Jechang Jeong, “Local adaptive directional color filter array interpolation based on inter-channel correlation”, Science Direct, Optics Communication 324, 2014, pp 269-276.
[3] Xingyu ZHANG, Ming-ting SUN, Lu FANG, Oscar C.AU, “Joint Denoising and demosaicking of noisy CFA images based on inter-color correlation”, IEEE International Conference on Acoustic , Speech and Signal Processing (ICASSP), 2014, pp 5784-5788.
[4] Mohanbaabu, Vinothkumar, Ponvasanth, “A modified low power color filter array interpolation”, IEEE International Conference on Communication and Signal Processing, April 3-5, 2014, India, pp 011-015.
[5] Ryo Kuroiwa, Ryo Matsuoka, Seisuke Kyochi, Keiichiro Shirai, Masahiro Okuda, “Lossless/ Near-lossless color image coding by inverse demosaicing”, IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2014, pp 2011-2014.
[6] Guorui Feng, Zifeng Zuo, Haiyan Zhang, “Demosaicking authentication codes using adaptive step via color difference estimation”, Science Direct, 2014.
[7] Satohiro Tajima, Ryohei Funatsu, Yukihiro Nishida, “Chromatic interpolation based on anisotropy-scale-mixture Statistics”, Science Direct, Signal Processing 97, 2014, pp 262-268.
[8] Xiangdong Chen, Liwen He, Gwanggil Jeon, Jechang Jeong, “Color filter array interpolation by successive refinement over color channels using gradient inverse-weighted filtering”, Science Direct, Optics Communication 318, 2014, pp 189-198.
[9] Yu Zhang, Guangyi Wang, Jiangtao Xu, Zaifeng Shi, DeXing Dong, “The modified gradient edge detection method for the color filter array image of the CMOS image sensor”, Science Direct, Optics and Laser Technology 62, 2014, 73-81.
[10] Ibrahim Pekkucuksen, Yucel Altunbasak, “Multiscale gradients-based color filter array interpolation”, IEEE Transactions on Image Processing, Vol. 22, No. 1, January 2013, pp 1057-7149.
[11] Yung-Hsiang Chiu, Kuo-Liang Chung, Wei-Ning Yang, Chien-Hsiung Lin, Yong-Huai Huang, “Universal intra coding for arbitrary RGB color filter arrays in HEVC”, Science Direct, J.Vis.Commun. Image.R.24, 2014, pp 867-884.
[12] Ting-Chun Wang, Yi-Nung Liu, Shao-Yi Chien, “Color filter array demosaicking using self-validation framework”, IEEE International Conference on Multimedia and Expo, 2012, pp 604-609.
[13] Jing-Ming Guo, Yun-Fu Liu, Bo-Syun Lai, Peng-Hua Wang, Jiann-Der Lee, “Classified-filter-based post-compensation interpolation for color filter array demosaicing”, IEEE ICASSP 2012, pp 921-924.
[14] Wei-Jen Yan, Kuo-Liang Chung, Hong-Yuan Mark Liao, “Quality-efficient demosaicing for digital time delay and integration images using edge-sensing scheme in color difference domain”, Science Direct, J.Vis.Commun, Image.R.23, 2012, pp 729-741.
[15] Jung, Miyoun, Xavier Bresson, Tony F. Chan, Luminita A. Vese, "Nonlocal Mumford-Shah regularizers for color image restoration", Image Processing, IEEE Transactions Vol. 20, No. 6, 2011, pp 1583-1598.
[16] Popescu, Alin C., Hany Farid, "Exposing digital forgeries in color filter array interpolated images", Signal Processing, IEEE Transactions Vol. 53, No. 10, 2005, pp 3948-3959.