We present a new image enhancement algorithm based on multi-scale block-rooting
processing. The basic idea is to apply the frequency domain image enhancement approach …

In this paper we propose an image enhancement algorithm that is based on utilizing
histogram data gathered from transform domain coefficients that will improve on the …

In medical imaging, X-ray images are an important part to diagnose the disease of the
human body. The acquisition of X-ray images through X-rays, having a low-dynamic range …

Diabetic Retinopathy is a major cause of vision loss caused by retina lesions, including hard
and soft exudates, microaneurysms, and hemorrhages. The development of a computational …

Both image enhancement and image segmentation are important pre-processing steps for
various image processing fields including autonomous navigation, remote sensing …

Fuzzy techniques offer a new and flexible framework for the development of image
enhancement algorithms. They are nonlinear, knowledge-based and robust. The potentials …

The primary objective of enhancement is to improve the contrast an image, that the outcome
image is more appropriate than the original image for the given application. One of the …

Present article addresses novel method to get rid of haze effect in color and gray image
enhancement. Proposed scheme works for different hazing cases such as smoky and foggy …

This paper introduces a novel cross-entropy Histogram Equalization method. The new
algorithm is based on separating the density spectrum of an image and then minimizing the …

Medical image enhancement is an effective tool to improve visual quality of digital medical
images. In this paper, we propose a new unsharp masking scheme for medical image …