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Improving quality of noisy images has been an active area of research in many years. It has been shown that wavelet thresholding methods had better results than classic approaches. However estimation of threshold and selection of thresholding function are still the challenging tasks. In this paper, a new thresholding function is proposed for wavelet thresholding. This function is continues and has...
The objective of this work is to evaluate the performance of a set of despeckle filters for Optical Coherence Tomography (OCT) of the skin. The six filters are based on local statistics, median filtering, pixel homogeneity, geometric filtering and transformed domain homomorphic filtering. The results of this study suggest that geometric filtering algorithm outperforms other candidate methods, and...
Obtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-based techniques are extremely useful for reducing artifacts caused due to under sampling of k-space (to reduce scan time). The recently proposed Non-Local Means (NLM) filtering method offers a promising means to denoise images...
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