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Image enhancement mostly means handling with the contrast of the pixels. However, conventional histogram equalization (HE) methods works based on the global histogram information only. Hence they often make an overall enhancement of the whole image without taking any intensive care of the spatial relationship among the pixels. This often leads to a number of annoying artifacts. In this paper we propose...
In this paper we propose a simple and reliable approach for skin region segmentation to generate region-of-interest (ROI) for various human-computer interaction based applications. Performance of this approach is much better than existing approaches in terms of segmenting solid skin regions without generating much noisy segments. Moreover, it does not need any prior training session and it can adapt...
In this paper, we present an image contrast enhancement method based on block-wise intensity pair distribution. Instead of using the intensity-pair distribution of the whole image, this proposed algorithm takes the intensity-pair distribution block-wise and maps the intensity of the center pixel according to an expansion function. To control the contrast stretch and over-enhancement, a linear magnitude...
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