Gaussian Kernel-Based Multi-Histogram Equalization

Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2010/05/01, Vol.E93.D(5), pp.1313-1316
Hauptverfasser:	SEO, Suk Tae, LEE, In Keun, JEONG, Hye Cheun, KWON, Soon Hak
Format:	Artikel
Sprache:	eng
Schlagworte:	Equalization Gaussian Gaussian kernel Histograms Image enhancement Kernels multi-histogram equalization Visual
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel is proposed. To demonstrate the effectiveness, the method is tested on several images and compared with conventional methods.
ISSN:	0916-8532 1745-1361 1745-1361
DOI:	10.1587/transinf.E93.D.1313