One of the approaches to improve the performance of image processing applications is to
enhance the input image quality. Some common problems with medical images include lack …

Rapid urbanization and globalization have resulted in intolerable congestion and traffic,
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …

In this work, we propose a DnCNN-based method to enhance the contrast of images.
Fundus images are widely used in clinical practice for detecting retinal dark spots. These …

This work provides a particle swarm optimization (PSO), an autonomous augmentation
technique based on real encoded particle swarms, to circumvent the challenges of picture …

Retinal disease is a potentially fatal condition that causes blindness, therefore early
prediction of retinal disease is an effective way to minimize the problem of blindness. Optical …

In our research this, A new algorithm for lightness enhancement is proposed and contrast of
retinal images. The method aims to enhance retinal images by segmentation on the retinal …

A progressive histogram equalization (HE) and contrast enhancement method is proposed
in the frequency domain. This method has an iterative structure based on the 6-sigma rule in …

Aiming at the problems of branch loss and fracture in the fundus retinal vessel segmentation
algorithm, with improved pulsed coupled neural network (PCNN) is proposed. As the …

The modalities of FUNDUS images and the availability of public domain data sets provides a
starting point in designing an ecosystem for developing an automatic detection of …