CFP last date
20 May 2024
Reseach Article

A Study on Various Color Filter Array based Techniques

by Simranpreet Kaur, Richa Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 4
Year of Publication: 2015
Authors: Simranpreet Kaur, Richa Sharma
10.5120/19969-1831

Simranpreet Kaur, Richa Sharma . A Study on Various Color Filter Array based Techniques. International Journal of Computer Applications. 114, 4 ( March 2015), 32-38. DOI=10.5120/19969-1831

@article{ 10.5120/19969-1831,
author = { Simranpreet Kaur, Richa Sharma },
title = { A Study on Various Color Filter Array based Techniques },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 4 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number4/19969-1831/ },
doi = { 10.5120/19969-1831 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:50.449505+05:30
%A Simranpreet Kaur
%A Richa Sharma
%T A Study on Various Color Filter Array based Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 4
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A demosaicing algorithm is just a digital image process used to reconstruct full color image from the incomplete color samples output from a picture sensor overlaid with a color filter array (CFA). It is also known as CFA interpolation or color reconstruction. Most contemporary digital camera models acquire images using a single image sensor overlaid with a CFA, so demosaicing is the main processing pipeline required to render these images into a viewable format. Many modern digital camera models can save images in a natural format allowing the consumer to demosaicit using software, as opposed to utilizing the camera's built-in firmware. Thus demosaicing becomes and major area of research in vision processing applications. The key objective of the paper is to examine and analyze various image demosaicing techniques. The entire aim would be to explore various limitations of the earlier techniques. This paper ends up with the suitable gaps in earlier techniques.

References
  1. Alvarez, Luis, Pierre-Louis Lions, and Jean-Michel Morel. "Image selective smoothing and edge detection by nonlinear diffusion. II. " SIAM Journal on numerical analysis 29, no. 3 (1992): 845-866.
  2. Azgin, Hasan, Serkan Yaliman, and Ilker Hamzaoglu. 2014"A high performance alternating projections image demosaicing hardware. " In Field Programmable Logic and Applications (FPL), 2014 24th International Conference on, pp. 1-4. IEEE.
  3. Bayram, Sevinc, Husrev T. Sencar, and Nasir Memon 2008 "Classification of digital camera-models based on demosaicing artifacts. " digital investigation 5, no. 1 : 49-59.
  4. Chen, Wen-Jan, and Pei-Yu Chang 2012 "Effective demosaicking algorithm based on edge property for color filter arrays. " Digital Signal Processing 22, no. 1 : 163-169.
  5. Chiu, Yung-Hsiang, Kuo-Liang Chung, and Chien-Hsiung Lin 2014 "An improved universal subsampling strategy for compressing mosaic videos with arbitrary RGB color filter arrays in H. 264/AVC. " Journal of Visual Communication and Image Representation 25, no. 7 : 1791-1799.
  6. Courroux, Sébastien, Stéphane Chevobbe, Mehdi Darouich, and Michel Paindavoine 2013 "Use of wavelet for image processing in smart cameras with low hardware resources. " Journal of Systems Architecture 59, no. 10 : 826-832.
  7. Criminisi, Antonio, Patrick Pérez, and Kentaro Toyama. 2004"Region filling and object removal by exemplar-based image inpainting. " Image Processing, IEEE Transactions on 13, no. 9 : 1200-1212.
  8. Džaja, Barbara, Mirjana Bonkovi?, and Ljubomir Maleševi? 2013"Solving a two-colour problem by applying probabilistic approach to a full-colour multi-frame image super-resolution. " Signal Processing: Image Communication 28, no. 5 : 509-521.
  9. Fang, Lu, Oscar C. Au, Yan Chen, Aggelos K. Katsaggelos, Hanli Wang, and Xing Wen 2012 "Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach. " Multimedia, IEEE Transactions on 14, no. 4 : 1359-1369.
  10. Glotzbach, John W. , Ronald W. Schafer, and Klaus Illgner 2001"A method of color filter array interpolation with alias cancellation properties. " In Image Processing, 2001. Proceedings. 2001 International Conference on, vol. 1, pp. 141-144. IEEE.
  11. Guo-gang, Wang, Zhu Xiu-chang, and Gan Zong-liang 2012 "Image demosaicing by non-local similarity and local correlation. " In Signal Processing (ICSP), 2012 IEEE 11th International Conference on, vol. 2, pp. 806-810. IEEE.
  12. Lee, Dohyoung, and Konstantinos N. Platanioti" 2012 "Lossless compression of HDR color filter array image for the digital camera pipeline. " Signal Processing: Image Communication 27, no. 6 : 637-649.
  13. Losson, Olivier, Alice Porebski, Nicolas Vandenbroucke, and Ludovic Macaire 2013 "Color texture analysis using CFA chromatic co-occurrence matrices. "Computer Vision and Image Understanding 117, no. 7 : 747-763.
  14. Maalouf, Aldo, M-C. Larabi, and S. Susstrunk 2012"An efficient demosaicing technique using geometrical information. " In Image Processing (ICIP), 2012 19th IEEE International Conference on, pp. 2789-2792. IEEE.
  15. Maschal, Robert A. , S. Susan Young, Joseph P. Reynolds, Keith Krapels, Jonathan Fanning, and Ted Corbin 2013"New image quality assessment algorithms for CFA demosaicing. " Sensors Journal, IEEE 13, no. 1 : 371-378.
  16. Mukherjee, Jayanta, Manfred K. Lang, and Sanjit K. Mitra 2005 "Demosaicing of images obtained from single-chip imaging sensors in YUV color space. " Pattern recognition letters 26, no. 7 : 985-997.
  17. Pekkucuksen, Ibrahim, and Yucel Altunbasa 2011. "Edge oriented directional Color Filter Array interpolation. " In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pp. 993-996. IEEE.
  18. Shao, Ling, and Amin Ur Rehman 2014 "Image demosaicing using content and colour-correlation analysis. " Signal Processing 103 : 84-91.
  19. Tang, Ketan, Oscar C. Au, Lu Fang, Yuanfang Guo, and Jiahao Pang 2013 "Chroma Replacing and adaptive Chroma Blending for subpixel-based downsampling. " InMultimedia Signal Processing (MMSP), 2013 IEEE 15th International Workshop on, pp. 212-217. IEEE.
  20. Tsai, Chi-Yi, and Kai-Tai Song 2013"A new edge-adaptive demosaicing algorithm for color filter arrays. " Image and Vision Computing 25, no. 9: 1495-1508.
Index Terms

Computer Science
Information Sciences

Keywords

Demosaicing Cfa Bayer Layer Smart Cameras.