Enrichment of Retinal Fundus Images using EN-CLAHE and Auto-CLAHE Methods
Keywords:
CLAHE, Enhanced CLAHE, Automated CLAHE, Glaucoma, Fundus Photography, Retinal fundus ImagesAbstract
Retinal imaging techniques are commonly used to diagnose various eye diseases. These methods, such as fundus photography, play a crucial role in detecting the impact of lifestyle conditions like diabetes and hypertension for retina. They helps to identify retinal complications at an early stage, such as micro aneurysms, exudates, and haemorrhages, which are often difficult to detect through regular clinical evaluation. By detecting these issues early on, the prevalence of retinal diseases worldwide can be reduced. One commonly used method to enhance retinal images is called Contrast Limited Adaptive Histogram Equalization (CLAHE). However, the effectiveness of this approach depends on selecting the right clip limit (CL) and sub-images (N). These choices can present challenges and limit the outcomes of the conventional approach. To address these limitations, updated versions of CLAHE have been introduced, known as Enhanced-CLAHE (EN-CLAHE) and Automated-CLAHE (Auto-CLAHE). These techniques have shown significant improvement in enhancing the contrast between different retinal landmarks. By employing a newly developed approach, clinicians can now perform screenings for conditions like diabetic retinopathy, glaucoma, and hsypertensive retinopathy in hospitals and remote locations. This approach enables direct examination of delicate details present in retinal images. Researchers have explored various image-enhancing methods and compared their results using quality evaluation tools like Peak Signal-to-Noise Ratio (PSNR). These evaluations help assess the extent of contrast enhancement and the overall richness of the image.
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