COLOR CORRECTION OF AN IMAGE WITH MULTIPLE LIGHT SOURCES USING GRAY WORLD COLOR CONSTANCY ALGORITHM

Madhuri C

Abstract


Color constancy is the ability to estimate the color of the light source. Different color constancy algorithms are there like gray world, white patch, gray world 1st order derivative, gray world 2nd order derivative. Here, the color constancy algorithms are generally based on the assumption that the light source across the scene is uniform. But this assumption is not true in all cases. Because some images contain multiple light sources. In this paper, we consider the scenes with multiple light sources. Here we do color correction of an image with multiple light sources using gray world algorithm. Here we use local correction method.ie, we do clustering of images and apply the color constancy algorithm for each patches rather than the entire image. Color correction is done using histogram equalization method.

 


Keywords


color correction; gray edge algorithm;gray world algorithm; histogram equalisation.

Full Text:

PDF

References


Arjan Gijsenij, Theo Gevers,” Color Constancy for Multiple Light Sources”, IEEE Transactions on image processing, VOL. 21, NO. 2, February 2012.

E.H.Land, “The retinex theory of color vision,” Sci. Amer., vol. 237,no. 6, pp.108–128, Dec. 1977

Kobus Barnard, Vlad Cardei, Brian Funt,“A Comparison of Computational Color Constancy Algorithms—Part I: Methodology and Experiments With Synthesized Data”, IEEE Transactions on Image Processing, Vol. 11, No. 9,September 2002.

J.Van de Weijer, Th. Gevers,“Color Constancy Based on Grey Edge Hypothesis”, IEEE 2005.

Weijeretal.,“Edge Based Color Constancy”, IEEE Transactions on Image Processing, Vol. 16, No. 9, September 2007.

Arjan Gijsenij, Theo Gevers, Joost van de Weijer “Computational Color Constancy: Survey and Experiments”, IEEE Transactions on Image Processing, Vol. 10, No. 10, Month 2010.

Arjan Gijsenij, Theo Gevers,“Color Constancy Using Natural Image Statistics and Scene Semantics” , IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 4, April 2011.

Lisa Brown et al.”Exploiting Color Strength to Improve ColorCorrection”(IEEE international Symposium on Multimedia),pp 179-182,2012.

Bommu Rajashekar Reddy, Y David Solmon Raju,K Venkata Murali Mohan,”Color Constancy for Light Sources”,International Journal of Engineering Trends and Technology(IJETT)-volume 5 number 4-Nov 2013.

Aakashdeep Singh Aulakh,Aman Arora and Manpreet Kaur,”Color Correction Using ColorConstancy Algorithms”,International Journal of Application or Innovation in Engineering and management,volume 3,Issue 5,May 2014.

Irvanpreet kaur,Rajdavinder Singh Boparai,”Evaluating the gaps in ColorConstancy Algorithms”,IPASJ International Journal of Computer Science,Volume 2,Issue 4,April 2014.


Refbacks

  • There are currently no refbacks.