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A Study of Transform Domain based Image Enhancement Techniques

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Gurwinder Kaur, Mandeep Kaur
10.5120/ijca2016911858

Gurwinder Kaur and Mandeep Kaur. A Study of Transform Domain based Image Enhancement Techniques. International Journal of Computer Applications 152(9):25-29, October 2016. BibTeX

@article{10.5120/ijca2016911858,
	author = {Gurwinder Kaur and Mandeep Kaur},
	title = {A Study of Transform Domain based Image Enhancement Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {9},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {25-29},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume152/number9/26349-2016911858},
	doi = {10.5120/ijca2016911858},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

An alteration of the low complexity upgrades strategies that are in light of the singular value decomposition (SVD) for saving the mean brightness of a given picture. In spite of the fact that the SVD structured systems upgrade the reduced complexity pictures by scaling its particular worth grid, they may neglect to deliver palatable results for some low difference pictures. The weighted total of solitary lattices of the data picture and its global histogram equalization (GHE) picture is ascertained to get the particular quality framework of the leveled picture. It outflanks the routine picture evening out, for example, GHE and nearby histogram balance (LHE) and in addition the SVD systems that in light of scaling its particular quality both subjectively and quantitatively. The DWT technique can produce better quantitative measurements over the other methods.

References

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Keywords

Image Enhancement, DWT, DCT, SVD