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Near Lossless Compression Technique for Bayer Color Filter Images using Wavelets

by M. Lakshmi, Allirani A
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 12
Year of Publication: 2013
Authors: M. Lakshmi, Allirani A
10.5120/11891-7939

M. Lakshmi, Allirani A . Near Lossless Compression Technique for Bayer Color Filter Images using Wavelets. International Journal of Computer Applications. 69, 12 ( May 2013), 1-4. DOI=10.5120/11891-7939

@article{ 10.5120/11891-7939,
author = { M. Lakshmi, Allirani A },
title = { Near Lossless Compression Technique for Bayer Color Filter Images using Wavelets },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 12 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number12/11891-7939/ },
doi = { 10.5120/11891-7939 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:02.378946+05:30
%A M. Lakshmi
%A Allirani A
%T Near Lossless Compression Technique for Bayer Color Filter Images using Wavelets
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 12
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Interpolating full-resolution color images from color-filter-array (CFA) samples is Image demosaicing. Bayer pattern is popular among various CFA patterns and demosaicing with this Bayer pattern produces high resolution color images. This paper presents a new demosaicing approach for spatially sampled image data perceived through a color filter array, and thereby exploiting the correlation of color components for subsampled image reconstruction. The above method is compatible with wavelet-domain denoising before demosaicing. It is also a general framework to apply existing image denoising algorithms to color filter array data. Compression is through Huffman coding and application of biorthogonal wavelets with the results proving that the proposed method is satisfactory in comparison with other techniques available in the literature.

References
  1. Li, X. , Gunturk, B. , & Zhang, L. (2008, January). Image demosaicing: A systematic survey. In Proc. of SPIE (Vol. 6822, pp. 68221J-68221J).
  2. M. Mancuso and S. Battiato. "An Introduction to the Digital Still Camera Technology," ST J. Syst. Res. , vol. 2, Dec 2001.
  3. Chung, K. H. , & Chan, Y. H. (2006). Color demosaicing using variance of color differences. Image Processing, IEEE Transactions on, 15(10), 2944-2955.
  4. Rastislav Luckac, and Konstantinos N. Plataniotis, "Color Filter Arrays: Design and performance Analysis", IEEE, transactions on Consumer Electronics, volume 51 No. 4, November 2005.
  5. B. E Bayar, "Color Imaging Arrays,'' U. S. Patent 3971 065, 1976.
  6. K. Topfer, J. E. Adams, and B. W. Keelan, "Modulation transfer functions and aliasing patterns of CFA interpolation algorithms," Proc. IS&T PICS, Portland Oregon, 1998, pp. 367-370
  7. J. W. Glotzbach, R. W. Schafer, and K. Illgner, "A method of color filter array interpolation with alias cancellation properties,"Proc. Int'l Conf. on Image Processing, (ICIP'01), Thessaloniki, Greece, vol. 1, Oct. 2001, pp. 141-144.
  8. J. E. Adams Jr. , " Design of practical color filter array interpolation algorithms for digital cameras II," Proc. Int'l Conf. Image Processing, (ICIP'98), Chicago, IL, USA, vol. 1, Oct. 1998, pp. 488-492.
  9. N. Zhang and X. Wu, "Lossless compression of color mosaic images," IEEE Trans. Image Processing, vol. 15, no. 6, pp. 1379–1388, June 2006.
  10. Chung, K. L. , Yang, W. J. , Chen, C. H. , Liao, H. Y. M. , & Zeng, S. M. (2011). Efficient chroma subsampling strategy for compressing digital time delay integration mosaic video sequences in H. 264/AVC. Journal of Electronic Imaging, 20(2), 023011-023011.
  11. Malvar, H. S. , & Sullivan, G. J. (2012, April). Progressive-to-Lossless Compression of Color-Filter-Array Images Using Macropixel Spectral-Spatial Transformation. In Data Compression Conference (DCC), 2012 (pp. 3-12). IEEE.
  12. Gu, J. , Wolfe, P. J. , & Hirakawa, K. (2010, September). Filterbank-based universal demosaicking. In Image Processing (ICIP), 2010 17th IEEE International Conference on (pp. 1981-1984). IEEE.
  13. Condat, L. (2011). A new color filter array with optimal properties for noiseless and noisy color image acquisition. Image Processing, IEEE Transactions on, 20(8), 2200-2210.
  14. Condat, L. (2010). A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising. vectors, 50, 1.
  15. Goldberg M. A. , Pivovarov M. et al. , "Application of wavelet compression to digitized radiographs", AJR:163, pp. 463-468, 1994.
  16. Singh, S. , & Singh, H. (2012). Improved Adaptive Huffman Compression Algorithm. International Journal of Computers & Technology, 1(1).
  17. Revankar, P. S. , Patil, V. B. , & Gandhare, W. Z. (2010). Data Compression on Embedded System. Information Processing and Management, 535-537.
Index Terms

Computer Science
Information Sciences

Keywords

Bayer pattern Biorthogonal wavelets Huffman coding

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