Retinal Fundus Image Enhancement Using Piecewise Gamma Corrected Dominant Orientation Based Histogram Equalization

Retinal fundus images play an essential role in the diagnosis of retina-related diseases and hence, their quality enhancement is essential for doctors to make a reliable clinical diagnosis. This paper presents an advanced retinal fundus image enhancement method by employing an efficiently modified and biologically inspired levy-flight firefly optimizer in association with a novel optimally weighted piecewise gamma corrected energy redistributed dominant orientation based texture histogram equalization framework for imparting overall quality improvement of retinal fundus images. The key intelligence is to utilize a weighted summation of intensity as well as texture based enhancement along with an efficiently defined cost function. The cost function has been framed such that more and more intensity span can be explored in a positive manner. Rigorous experimentation by employing the performance evaluation and comparison with recently proposed enhancement approaches so that the explicit outperformance can be underlined.