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Adaptive Image Quality Enhancement with Hybrid Pixel Enhancement Approach

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Sukhwinder Singh, Amit Grover

Sukhwinder Singh and Amit Grover. Adaptive Image Quality Enhancement with Hybrid Pixel Enhancement Approach. International Journal of Computer Applications 142(7):7-11, May 2016. BibTeX

	author = {Sukhwinder Singh and Amit Grover},
	title = {Adaptive Image Quality Enhancement with Hybrid Pixel Enhancement Approach},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {142},
	number = {7},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {7-11},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016909858},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Restoration is procedure of recoupling a picture from corrupted state. The image enhancement and restoration requires the image matrix processing, which utilizes the noise removal and contrast enhancement. The image enhancement method in the proposed model usually utilize the color enhancement, histogram equalization, color illumination, neighbor based reference model, non-reference image matrix enhancement and co-variance based matrix enhancement. In this paper, the combination of the neighbor based reference model and non-reference image matrix enhancement is proposed for the enhancement of the results. The experimental results have been performed over the grayscale standard images of the Lena, Baboon, Barbara and Peppers.


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Image enhancement, contrast enhancement, noise elimination, contrast adjustment.