Image optimization for noisy optical coherence tomograms

Various kinds of noise in optical coherence tomography (OCT) systems affect the visual effect and image post-processing. A method combined mixed noise reduction with constrained least squares filtering is proposed to minimize noise and restore the image. The sequential gray scale transform and image enhancement are then carried out to optimize the visual effect. The effectiveness is proven with the processing results of degraded OCT images heavily polluted by noise. The features of the bio-tissue are much readily distinguished, and evaluation parameters, the region contrast (RC), signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), are also obviously improved after being processed.