Efficient OCT Image Enhancement Based on Collaborative Shock Filtering

Abstract EN

Efficient enhancement of noisy optical coherence tomography (OCT) images is a key task for interpreting them correctly.

In this paper, to better enhance details and layered structures of a human retina image, we propose a collaborative shock filtering for OCT image denoising and enhancement.

Noisy OCT image is first denoised by a collaborative filtering method with new similarity measure, and then the denoised image is sharpened by a shock-type filtering for edge and detail enhancement.

For dim OCT images, in order to improve image contrast for the detection of tiny lesions, a gamma transformation is first used to enhance the images within proper gray levels.

The proposed method integrating image smoothing and sharpening simultaneously obtains better visual results in experiments.