Noise removal from raw OCT images achieved using an OCT system operating in the bandwidth 827 nm-873 nm

An image processing algorithm that improves the quality of Optical Coherence Tomographic (OCT) image by reducing its noise is presented. The algorithm consists of: bilateral, anisotropic, Gaussian unsharping mask filters and contrast stretch. A Michelson interferometer is used in the process of raw OCT images acquiring. The OCT configuration is driven by a swept optical source Superlum BS-840. Acquired raw OCT images are employed as input data to test the image process algorithm. Demonstrative images showing a comparison between raw OCT images and reconstructed images are presented.