CFP last date
20 January 2025
Reseach Article

Color Image Enhancement by Linear Transformations Solving out of Gamut Problem

by Ghanapriya Singh, Tarun Kumar Rawat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 14
Year of Publication: 2013
Authors: Ghanapriya Singh, Tarun Kumar Rawat
10.5120/11464-7072

Ghanapriya Singh, Tarun Kumar Rawat . Color Image Enhancement by Linear Transformations Solving out of Gamut Problem. International Journal of Computer Applications. 67, 14 ( April 2013), 28-32. DOI=10.5120/11464-7072

@article{ 10.5120/11464-7072,
author = { Ghanapriya Singh, Tarun Kumar Rawat },
title = { Color Image Enhancement by Linear Transformations Solving out of Gamut Problem },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 14 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number14/11464-7072/ },
doi = { 10.5120/11464-7072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:24:49.387955+05:30
%A Ghanapriya Singh
%A Tarun Kumar Rawat
%T Color Image Enhancement by Linear Transformations Solving out of Gamut Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 14
%P 28-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In various other color image enhancement algorithms there was need to convert image from RGB color space to other color space which often resulted in values going out of gamut. The proposed method avoids the same without using any complex algorithm. It is a generalized setup in which grey scale techniques are applied to color images without changing hue of pixels. Results are analyzed both in subjective and objective sense and thus proving its efficiency.

References
  1. R. Gonzalez and R. Woods, Digital Image Processing, 3rd ed. Prentice Hall, Jan. 2009.
  2. Christopher C. Yang and S. H. Kwok "Gamut Clipping in Color Image Processing" IEEE Conference 2000.
  3. Chang-Jing Yang et al. "Hybrid Gamut Mapping and Dithering Algorithm for Image Reproduction" 12th International Conference on ITS Telecommunications IEEE 2012.
  4. LI Xiao-zhou, DONG Cui-hua "Researches on Original Image Gamut in Digital Printing" 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012) IEEE.
  5. CA. Poynton " Wide Gamut Device-Independent Colour Image Interchange" International Broadcasting Convention, Conference Publication No. 397, IEE, 1994
  6. Chih-Chang Lai et al. " Color Gamut and Contrast Enhancement for Mobile Phone Displays" 33rd annual conference Nov. 2007.
  7. Yoshifumi Shimodaira et al. "New Imaging and Display System for Wide Gamut Color Reproduction" IEEE conference 2007.
  8. Peter Zolliker, et al "Retaining Local Image Information in Gamut Mapping Algorithms" IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 3, MARCH 2007.
  9. Wenxian Yang et al "GAMUT FITTING FOR IMAGE COMPOSITION APPLICATIONS" IEEE conference 2009.
  10. Joachim Giesen et al. "Image-Dependent Gamut Mapping as Optimization Problem" IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 10, OCTOBER 2007.
  11. Wenxian Yang, Jianfei Cai and Jianmin Zheng "SOLVING THE OUT-OF-GAMUT PROBLEM IN IMAGE COMPOSITION" IEEE 17th International Conference on Image Processing September, 2010.
  12. Yoonsung bae et al. "GAMUT-ADAPTIVE CORRECTION IN COLOR IMAGE PROCESSING" IEEE 17th International Conference on Image Processing September, 2010.
  13. C. C. Yang and J. J. Rodriguez, "Efficient luminance and saturation processing techniques for bypassing color coordinate transformations," in Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, vol. 1, 1995, pp. 667–672
  14. Weeks "Saturation clipping in the LHS and YIQ color spaces," in Proc. IS&T/SPIE Int. Symp. Electronic Imaging: Science & Technology –Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts, San Jose, CA, 1996.
  15. S. Naik and C. Murthy, "Hue-preserving color image enhancement without gamut problem" IEEE Tran. On Image Processing, vol. 12, no. 12, pp. 1591–1598, Dec. 2003.
  16. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Transactions on Image Processing, vol. 13, no. 1, Jan. 2004.
  17. Lin Zhang, Lei Zhang, X. Mou and D. Zhang, "FSIM: A Feature Similarity Index for Image Quality Assessment," IEEE Trans. Image Processing,vol. 20, no. 8, pp. 2378-2386, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Image enhancement gray scale to color image hue out of gamut problem