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Image Sharpening Using Sub-Regions Histogram Equalization
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AI
DOI：10.1109/TCE.2009.5174471.png)
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Abstract
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Histogram equalization (HE) based methods are commonly used in consumer electronics. Histogram equalization improves the contrast a fan image of changing the intensity level of the pixels based on the intensity, distribution of the input image. This paper presents sub-regions histogram equalization (SRHE). First, the method partitions the image based on the smoothed intensity values, which are obtained by convolving the input image with a Gaussian filter. By doing this, the transformation function used by HE is not based on the intensity of the pixels only but the intensity values of the neighboring levels are also taken into the consideration. Besides, this paper also presents a more robust histogram equalization transformation function. Experimental results show that the proposed method is not only can enhance the contrast, but this method also successfully sharpens the image(1).
Keywords:
Image contrast enhancement
histogram equalization
image sharpening
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