Objective: Many common eye diseases and cardiovascular diseases can be diagnosed
through retinal imaging. However, due to uneven illumination, image blurring, and low …

Retinal imaging is used to diagnose common eye diseases. But retinal images that suffer
from image blurring, uneven illumination and low contrast become useless for further …

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 …

Images are sometimes affected by improper illumination and are dark. This happens usually
in medical images or the images acquired in low light conditions. This paper focuses on …

Retinal images are widely used to manually or automatically detect and diagnose many
diseases. Due to the complex imaging setup, there is a large luminosity and contrast …

In this paper, we propose retinex-based perceptual contrast enhancement in images using
luminance adaptation. Strong illumination causes the loss of local details in an image. We …

Retinal images are routinely acquired and assessed to provide diagnostic evidence for
many important diseases, eg diabetes or hypertension. Because of the acquisition process …

In this paper, we present an improved image formation model and propose a color image
enhancement using single-scale retinex based on the model. In the presented image …

The blurring of a retinal image can be caused by refractive medium turbidity or imperfect
imaging conditions, which can decrease the diagnostic reliability. High-quality retinal …

Digital images used in the field of ophthalmology are among the most important methods for
automatic detection of certain eye diseases. These processes include image enhancement …