Demosaicing of Color Images by Accurate Estimation of Luminance
Abstract
Digital cameras acquire color images using a single sensor with Color filter Arrays. A single color component per pixel is acquired using color filter arrays and the remaining two components are obtained using demosaicing techniques. The conventional demosaicing techniques existent induce artifacts in resultant images effecting reconstruction quality. To overcome this drawback a frequency based demosaicing technique is proposed. The luminance and chrominance components extracted from the frequency domain of the image are interpolated to produce intermediate demosaiced images. A novel Neural Network Based Image Reconstruction Algorithm is applied to the intermediate demosaiced image to obtain resultant demosaiced images. The results presented in the paper prove the proposed demosaicing technique exhibits the best performance and is applicable to a wide variety of images.
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B. E. Bayer, Color imaging array, July 20 1976. US Patent 3,971,065
Ousman Boukara,Laurent Bitjokaa and Gamraïkréo Djaowéa. Nondestructive Determination Of Beans Water Absorption Capacity Using CFA Images Analysis For Hard-To-Cook Evaluation.International Journal of Electrical and Computer Engineering (IJECE).Vol. 3, No. 3, June 2013, pp. 317~328
X. Li, B. Gunturk, and L. Zhang, “Image demosaicing:A systematic survey”, SPIE vol. 6822, pp. 68221J,2008.
Dubois, E., "Frequency-domain methods for demosaicking of Bayer-sampled color images," in Signal Processing Letters, IEEE , vol.12, no.12, pp.847-850, Dec. 2005
Nai-Xiang Lian; Lanlan Chang; Yap-Peng Tan; Zagorodnov, V., "Adaptive Filtering for Color Filter Array Demosaicking," in Image Processing, IEEE Transactions on , vol.16, no.10, pp.2515-2525, Oct. 2007
Lu Fang; Au, O.C.; Yan Chen; Katsaggelos, A.K.; Hanli Wang; Xing Wen, "Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach," in Multimedia, IEEE Transactions on , vol.14, no.4, pp.1359-1369, Aug. 2012
R.Niruban, T.Sree Renga Raja and R.Deepa. Similarity and Variance of Color Difference Based Demosaicing. TELKOMNIKA Indonesian Journal of Electrical Engineering. Vol. 13, No. 2, February 2015, pp. 238-246
Dengwen, Z.; Xiaoliu, S.; Weiming, D., "Colour demosaicking with directional filtering and weighting," in Image Processing, IET , vol.6, no.8, pp.1084-1092, November 2012
Xiao Zhou; Fanfan Yang; Chunxiao Zhang; Chengyou Wang, "Improved adaptive demosaicking using directional weighting," in Computer Science & Education (ICCSE), 2014 9th International Conference on , vol., no., pp.615-618, 22-24 Aug. 2014
Zhang, D.; Xiaolin Wu, "Color demosaicking via directional linear minimum mean square-error estimation," in Image Processing, IEEE Transactions on , vol.14, no.12, pp.2167-2178, Dec. 2005
D. Menon and G. Calvagno, “Color image demosaicking: An overview,” Signal Processing: Image Communication (Elsevier), vol. 26, 2011.
Kim, Y.; Jeong, J., "Four Direction Residual Interpolation for Demosaicking," in Circuits and Systems for Video Technology, IEEE Transactions on , vol.PP, no.99, pp.1-1. doi: 10.1109/TCSVT.2015.2428552
Maschal, R.A.; Young, S.S.; Reynolds, J.P.; Krapels, K.; Fanning, J.; Corbin, T., "New Image Quality Assessment Algorithms for CFA Demosaicing," in Sensors Journal, IEEE , vol.13, no.1, pp.371-378, Jan. 2013
Xiangdong Chen; Liwen He; Gwanggil Jeon; Jechang Jeong, "Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking," in Circuits and Systems for Video Technology, IEEE Transactions on , vol.25, no.8, pp.1271-1282, Aug. 2015
Wachira, Kinyua; Mwangi, Elijah; Jeon, Gwanggil, "A pentomino-based path inspired demosaicking technique for the bayer color filter array," in AFRICON, 2015 , vol., no., pp.1-5, 14-17 Sept. 2015
Michael, G.; Kiryati, N., "Example based demosaicing," in Image Processing (ICIP), 2014 IEEE International Conference on , vol., no., pp.1832-1836, 27-30 Oct. 2014
Moriya, S.; Makita, J.; Kuno, T.; Matoba, N.; Sugiura, H., "Advanced demosaicing methods based on the changes of colors in a local region," in Consumer Electronics, IEEE Transactions on , vol.52, no.1, pp.206-214, Feb. 2006
Lu, Y.M.; Karzand, M.; Vetterli, M., "Demosaicking by Alternating Projections: Theory and Fast One-Step Implementation," in Image Processing, IEEE Transactions on , vol.19, no.8, pp.2085-2098, Aug. 2010
Wei Ye; Kai-Kuang Ma, "Color Image Demosaicing Using Iterative Residual Interpolation," in Image Processing, IEEE Transactions on , vol.24, no.12, pp.5879-5891, Dec. 2015
Burger, H.C.; Schuler, C.J.; Harmeling, S., "Image denoising: Can plain neural networks compete with BM3D?," in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on , vol., no., pp.2392-2399, 16-21 June 2012
Budi Rahmani and Supriyadi.Early Model of Traffic Sign Reminder Based on Neural Network. TELKOMNIKA, Vol.10, No.4, December 2012, pp. 749-758.
Yi-Qing Wang, "A multilayer neural network for image demosaicking," in Image Processing (ICIP), 2014 IEEE International Conference on , vol., no., pp.1852-1856, 27-30 Oct. 2014
Alleysson, D.; Susstrunk, S.; Herault, J., "Linear demosaicing inspired by the human visual system," in Image Processing, IEEE Transactions on , vol.14, no.4, pp.439-449, April 2005
P. Vandewalle, S. S¨usstrunk, and M. Vetterli, “A Frequency Domain Approach to Registration of Aliased Images with Application to Super-Resolution,” EURASIP Journal on Applied Signal Processing, Special Issue on Super-Resolution Imaging 2006, 2006. Article ID 71459, 14 pages
D. Robinson and P. Milanfar, “Statistical performance analysis of super-resolution,” IEEE Transactions on Image Processing 15, pp. 1413–1428, June 2006
Q.V. Le, A. Coates, B. Prochnow, and A.Y. Ng. ,”On optimization methods for deep learning.”Learning, pages 265–272, 2011.
T. Q. Pham, L. J. van Vliet, and K. Schutte, “Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution,” EURASIP Journal on Applied Signal Processing 2006, 2006. Article ID 83268, 12 pages.
The Kodak color image dataset, Image Available [Online]. Available: http://r0k.us/graphics/kodak/.
J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, “Non-local sparse models for image restoration,” in Proc. IEEE 12th Int. Conf. Comput. Vis., Sep./Oct. 2009, pp. 2272–2279
Xiangdong Chen; Liwen He; Gwanggil Jeon; Jechang Jeong, "Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking," in Circuits and Systems for Video Technology, IEEE Transactions on , vol.25, no.8, pp.1271-1282, Aug. 2015
D. Kiku, Y. Monno, M. Tanaka, and M. Okutomi, “Minimized-laplacian residual interpolation for color image demosaicking,” in Proc. IST/SPIE Electronic Imaging, Mar. 2014, vol. 9023, pp. 90230L1–8.
Yusuke Monno, Daisuke Kiku, Masayuki Tanaka and Masatoshi Okutomi, "Adaptive Residual Interpolation for Color Image Demosaicking", in IEEE International Conference on Image Processing (ICIP), Sept 2015 , pp. 1-5
DOI: http://doi.org/10.12928/telkomnika.v14i1.2634
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