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Improved adaptive complex diffusion despeckling filter
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DOI：10.1364/OE.18.024048.png)
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Abstract
En 中文
Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diagnosis or as a preprocessing stage for retinal layer segmentation. Both of these applications are particularly important in monitoring the progression of retinal disorders. In this study we propose a new formulation for a well-known nonlinear complex diffusion filter. A regularization factor is now made to be dependent on data, and the process itself is now an adaptive one. Experimental results making use of synthetic data show the good performance of the proposed formulation by achieving better quantitative results and increasing computation speed. (C) 2010 Optical Society of America
Keywords:
OPTICAL COHERENCE TOMOGRAPHY
SPECKLE NOISE-REDUCTION
IMAGE-ENHANCEMENT
RETINAL LAYERS
STATISTICS
RESOLUTION
ALGORITHM
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3.3
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6.1W
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14.3W
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