Colour Image Enhancement Method Combined PCNN and PCA Based on NSCT

Fen Xia Wu

Abstract


A new colour image enhancement method based on NSCT and PCNN is proposed by using HSV model, in order to decrease the influence non-uniform luminance on true colour images. First, a colour image is transformed from RGB colour space to HSV colour space. Second, intensity channel is decomposed by NSCT, and we can obtain the low frequency sub-image and a series high frequency sub-images. Third, PCNN and PCA are applied on the low frequency sub-image, and nonlinear translation is employed on high-frequency sub-images. Then, the intensity component image is obtained by inverse NSCT. Finally, the colour image is obtained by transforming from HSV colour space to RGB colour space. Experiments illustrate that our algorithm can not only corrected non-uniform illumination in images, but also well maintain the colour and local details of images.


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References


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Revista de la Facultad de Ingeniería,

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