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In this paper we present an effective method for image contrast enhancement with a mapping function that improves both the brightness and fine details of the input image. With the global transformation function it combines an intensity-pair distribution based expansion function from each image block to control the enhancement of image details, which the global transformation function alone may fail...
A smart contrast enhancement technique, dynamic histogram equalization (DHE), is proposed. It takes control over traditional histogram equalization for appropriate contrast enhancement of images without introducing any severe side affects such as washed out appearance, over-enhancement of some features and noises, checkerboard effects etc.
In this paper, a smart contrast enhancement technique based on conventional histogram equalization (HE) algorithm is proposed. This dynamic histogram equalization (DHE) 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. DHE partitions the image histogram based on local minima and assigns specific gray...
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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