Adaptive-weighted bilateral filtering for optical coherence tomography (original) (raw)

Abstract

This paper presents an image enhancement method for retinal optical coherence tomography (OCT) images. Raw OCT images contain a large amount of speckle which causes images to be grainy and very low contrast. The raw OCT images are thus difficult usually processed before any clinical interpretation is made. We propose a novel method to remove speckle, while preserving useful information contained in each retinal layer. The process starts with multi-scale despeckling based on a dual-tree complex wavelet transform (DT-CWT). Then, we further enhance the OCT image with a novel smoothing process that uses novel adaptive-weighted bilateral filter (AWBF). This offers desirable property of preserving texture within the OCT images. Glaucoma classification results further confirm that our method can enhance the clinical usefulness of OCT images.

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