A Dynamic Wavelet Filtering for Anterior Chamber Optical Coherence Tomographic Images

Abstract:

Speckle noise is a common phenomenon in Optical Coherence Tomography (OCT) images. This paper describes a dynamic filtering approach for anterior chamber OCT images to reduce the speckle noise in wavelet domain. The approach proposed segments the OCT image into some parts and identifies if the parts have region of interest (ROI), which includes the anterior chamber tissues. Then, it suppresses noise with three different suppression strategies in part with ROI. For the part without ROI, it sets the discrete wavelet transform coefficients of this part to zero. Here, the sampling-based sub-band adaptive algorithm is used to distinguish the ROI; and the correlations of neighboring wavelet coefficients and the coefficients of the corresponding locations in adjacent decomposition levels are used to suppress the noise. The performance improvement over the previously published method is quantified in terms of noise suppression, image structural preservation and visual quality. The numerical values of the image quality metrics along with the qualitative analysis results indicated that the approach proposed has better performance.

• Periodical: Advanced Materials Research (Volumes 875-877)
• Pages: 1982-1988
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.875-877.1982
• Online since: February 2014
• Authors: Wen Liang Du, Xiao Lin Tian, Yan Kui Sun
• Keywords: Anterior Chamber OCT Images, Denoise, Dynamic Wavelet Filter, Region of Interest, Speckle Noise

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