A general framework based on histogram equalization for image contrast enhancement is
presented. In this framework, contrast enhancement is posed as an optimization problem …

Contrast enhancement plays a significant role in digital image processing. However,
traditional histogram equalization usually results in excessive enhancement, which in return …

In this paper, a smart contrast enhancement technique based on conventional histogram
equalization (HE) algorithm is proposed. This dynamic histogram equalization (DHE) …

Histogram equalization (HE) is a widely used contrast enhancement (CE) method in image
processing applications. The algorithm can be easily implemented; however, it tends to …

A new contrast enhancement algorithm is proposed, which is based on the fact that, for
conventional histogram equalization, a uniform input histogram produces an equalized …

Histogram equalization is a widely used image contrast enhancement method. While global
histogram equalization enhances the contrast of the whole image, local histogram …

In this paper, we propose a two-dimensional histogram equalization (2DHE) algorithm which
utilizes contextual information around each pixel to enhance the contrast of an input image …

Histogram equalisation has been a much sought‐after technique for improving the contrast
of an image, which however leads to an over enhancement of the image, giving it an …

A fast and effective method for image contrast enhancement is presented. In the proposed
method, the probability distribution function (histogram) of an image is modified by weighting …

The limitation to the most commonly used histogram equalization (HE) technique is the
inconsideration of the neighborhood info near each pixel for contrast enhancement. This …