optical coherence tomography images using variational image decomposition

What is it about?

Filtering off speckle noise while preserving fine details for optical coherence tomography(OCT) is particularly challenging. In this paper, an efficient method based on variational image decomposition(VID) is proposed to suppress speckle from OCT retinal images.A new BL-G-BM3D model based on VID is proposed to decompose one OCT retinal image into the background part, the texture part and noise. Each part is described by suitable function space separately and processed individually. The proposed model is able to preserve structural information while sufficiently suppressing specklenoise.WetesttheproposedmethodontworawOCTretinal images with low contrast and high noise level, and compare with four other related and widely used filtering methods in terms of both quantitative evaluation and visual quality.The experimental results have demonstrated the validity of the proposed method.

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Why is it important?

In this paper, we propose a new denoising model BL-G-BM3D for OCT images by using variational image decomposition. We use the proposed model to decompose the OCT retinal image into the background part, the texture part and speckle noise part. Each part is described separately and processed individually. Experimental results demonstrate that the proposed denoising model based on VID can protect fine detail information while suppress speckle.

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