Author(s) :
Anuja S. B , Dr F Ramesh Dhanaseelan
Conference Name :
International Conference on scientific innovations in Science, Technology, and Management (NGCESl-2023)
Abstract :
One of the fundamental challenges in the field of Image Processing and Computer Vision is Image Denoising. The goal is to estimate the original image by removing or suppressing noise from a noise-contaminated version of the image. Noise can be introduced into an image during acquisition, processing, or transmission which can reduce the image quality and make it difficult to interpret. Diagnosing retinal diseases of the eye requires analyzing tiny retinal vessels. The digital color present in the images, and retinal vasculature is difficult to be analyzed. This paper discusses various denoising methods to improve the quality of the retinal fundus images before further processing. By selecting a suitable method for denoising, the image details are not lost as well as the contrast is maintained. Based on the performance of several techniques for denoising fundus images, it is found that the Adaptive Median Filter shows a greater performance compared with state of art methods.
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