─ This paper presents a novel local contrast enhancement algorithm based on local histogram modification. The computation of local contrast enhancement operators is usually slow though they produce better local contrast and details. We have addressed this issue by subtly designing a highly parallel algorithm, which could be easily implemented on Graphics Processing Units (GPU) to harvest high c...

A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram ...

The main aim is to enhance the contrast of a host image by Reversible data hiding algorithm and to improve its visual quality. The highest two bins in the histogram are selected for data embedding so that histogram equalization can be performed by repeating the process. The Reversible data hiding algorithm is used for better preserving the visual quality of contrast enhanced image with increase...

Non-uniform illumination image is often generated owing to various factors, such as an improper setting in the acquisition device and absorption or reflectance of objects that results existence different exposure regions image. Although Histogram Equalization (HE) well known widely used enhancement, existing HE-based methods generate washed-out effects show unnatural appearance due over-enhance...

The contrast enhancement of medical images has an important role in diseases diagnostic, specially, cancer cases. Histogram equalization is considered as the most popular algorithm for contrast enhancement according to its effectiveness and simplicity. In this paper, we present a modified version of the Histogram Based Fast Enhancement Algorithm. This algorithm enhances the areas of interest wi...

Histogram equalization (HE) is one of the common methods used for image enhancement. Histogram equalization has proved to be a simple and effective image contrast enhancement technique. The major difference among the methods in this family is the criteria used to divide the input histogram. For preserving the input brightness of the image, there is a segment to avoid the generation of non-exist...

In this paper, a novel reversible video watermarking scheme using motion estimation and prediction error expansion is presented, which can embed a large amount of secret data into videos with imperceptible modification. Different with other reversible watermarking schemes based on prediction error expansion, motion estimation is employed to explore the relationship of neighboring frames and wor...

In this paper, we present a histogram transformation technique which can be used for image enhancement in 2D images. It is based on the application of the Principle of Maximum Entropy (PME) for histogram modification. Firstly, a PME problem is proposed in the context of the nonextensive entropy and its implicit solution is presented. Then, an iterative scheme is used to get the solution with a ...

This proposed scheme reversibly embeds data into image prediction-errors by using histogram-pair method with double thresholds (embedding threshold and fluctuation threshold). The embedding threshold is used to select only those prediction-errors, whose magnitude does not exceed this threshold, for possible reversible data hiding. The fluctuation threshold is used to select only those predictio...