Research and Comparison of OCT Image Speckle Denoising Algorithm

Speckle noise generated during optical coherence tomography (OCT) imaging severely images image quality. In order to study the processing method of speckle noise reduction, this paper takes the OCT fundus image as the research object, and uses the median filtering, wavelet threshold method, Wiener filtering and anisotropic diffusion method to denoise the OCT fundus image. Finally, the effects of image noise reduction are objectively compared by four factors: signal-to-noise ratio (SNR), speckle index (Speckle-index), equivalent visual number (ENL) and edge retention coefficient (EPI). The results show that Wiener filtering and anisotropic diffusion method have better noise reduction effects.