The Retina images suffer from the low gray level of contrast and less illumination in the
region where it is nearby the optic disk with high brightness, while the region where it is far …

Digital retinal images are getting more interest while developing automated systems. These
images are of poor quality due to patient's movement, poor focus, bad positioning …

Enhancing retinal images is the most important thing to detect eye diseases. Many of the
retinal images taken with the optical coherence tomography (OCT) device suffer from …

Common method in image enhancement that's often use is histogram equalization, due to
this method is simple and has low computation load. In this research, we use Contrast …

Retinal images show an essential role in Ophthalmology to diagnosis wide set of diseases.
In this direction, using retinal images in computerized techniques increases the ability of …

Human eyes are the most important part of the body. Human eyes are capable to
differentiate approximate 10 million colors. In this paper, we implement the Enhancement …

Diabetic Retinopathy (DR), a common micro vascular disease observed in diabetics, is also
a major cause of adult blindness across the globe. It results in observable changes in retina …

Early detection of ophthalmologic complications in the retinal fundus images is crucial and
requires a quality image for accurate analysis and diagnosis. This often proves tricky due to …

Retinal images are used for detection of many eye diseases like diabetic retinopathy,
glaucoma and age-related macular degeneration. Faulty quality retinal images are …

The human eye is the most critical part that can be adversely affected by diabetes in the near
or long run. The detection of DR (Diabetic Retinopathy) in the early stages is not that easily …