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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/9959

Title: Constrained PDF based histogram equalization for image constrast enhancement
???metadata.dc.creator???: Balasubramanian, K.
Keywords: Contrast enhancement
Histogram equalization
Probability density function
Cumulative distribution function
Aprimoramento de contraste
Equalização de histograma
Função densidade de probabilidade
Função de distribuição cumulativa
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Dec-2008
Citation: BALASUBRAMANIAN, K. Constrained PDF based histogram equalization for image constrast enhancement. INFOCOMP: Journal of Computer Science, Lavras, v. 7, n. 4, p. 78-83, Dec. 2008.
Abstract: Histogram Equalization (HE) has proved to be a simple image contrast enhancement technique. However, it tends to change the mean brightness of the image to the middle level of the gray level range. In this paper, a smart contrast enhancement technique based on conventional HE algorithm is proposed. This Constrained PDF based Histogram Equalization (CPHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it. In the proposed method, the probability distribution function (histogram) of an image is modified by introducing constraints before the histogram equalization (HE) is performed. This shows that such an approach provides a convenient and effective mechanism to control the enhancement process, while being adaptive to various types of images. Experimental results are presented and compared with results from other contemporary methods.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/241
???metadata.dc.language???: eng
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