Retinal images are widely used for the diagnosis of various diseases. However, low-quality
retinal images with uneven illumination, low contrast, or blurring may seriously interfere with …

Poor visual quality of color retinal images greatly interferes with the analysis and diagnosis
of the ophthalmologist. In this paper, we propose an enhancement method for low-quality …

Aiming at the problems of residual noise, low contrast, and limited detail information caused
by low‐light images, this paper proposes a new Retinex variational model. According to …

Background and objective The good quality of color retinal image is essential for doctors to
make a reliable diagnose in clinics. Due to major reasons like acquisition process and …

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 …

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

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 …

Retinal imaging can be used to identify a variety of common eye and cardiac disorders.
However, owing to non-uniform or poor illumination and low contrast, low-quality retinal …

The most common methods to improve the quality of images with insufficient visibility are
retinex-based and gamma correction methods. The fundamental assumption of retinex …

In this paper, we propose a novel Retinex image enhancement approach by adopting two
important prior named brightness channel prior (BCP) and change of detail (CoD) prior. We …