Noise reduction in ophthalmic images

Abstract

A computer-implemented method of processing at least one image of a retina of an eye acquired by an ophthalmic imaging device, wherein the at least one image shows a texture of the retina. The method comprises processing a first image of the at least one image using a noise reduction algorithm based on machine learning to generate a de-noised image of the retina, wherein the texture of the retina shown in the first image is at least partially removed by the noise reduction algorithm to generate the de-noised image. The method further comprises combining a second image of the at least one image with the de-noised image to generate at least one hybrid image of the retina which shows more of the texture of the retina than the de-noised image.

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