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Integrated Saturation Weighting based Color Cat Algorithm

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Karamjit Kaur Dhillon, Aarti Vaish

Karamjit Kaur Dhillon and Aarti Vaish. Integrated Saturation Weighting based Color Cat Algorithm. International Journal of Computer Applications 146(5):36-40, July 2016. BibTeX

	author = {Karamjit Kaur Dhillon and Aarti Vaish},
	title = {Integrated Saturation Weighting based Color Cat Algorithm},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2016},
	volume = {146},
	number = {5},
	month = {Jul},
	year = {2016},
	issn = {0975-8887},
	pages = {36-40},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016910705},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Color Constancy has capability to displace the precise shades in provided picture by considering the effectation of color gentle source. Many color constancy methods has been proposed so far to boost the color constancy accuracy charge further. In present literature number this type of process can be acquired which works optimistically in many case. Although the color cat shows successful benefits around available methods, however it is still struggling with the matter of irregular illuminate and bad brightness. Thus to cope with this problem for the reason that paper a brand new integrated color cat approach is proposed for the reason that dissertation. The new approach has applied color normalization and saturation weighting as post managing of color cat to lessen the effectation of irregular illuminate and bad brightness. The general gain shows the effectiveness of the proposed technique.


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Color constancy, Contrast Enhancement, Image enhancement, Adaptive Histogram Equalization method, Color and Illumination Distribution.