1. Articles from Fengling Wang

    1-2 of 2
    1. Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image

      Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image

      Optical coherence tomography (OCT) is a micrometer-resolution optical imaging technology that has been widely used in many fields, such as medicine and materials science. However, OCT images inevitably suffer from speckle noise which obscures the structural information of image. To remove speckle noise, a boosted singular value shrinkage algorithm based on fractional-order filtering is proposed in this paper. An OCT image is first divided into many overlapping image blocks and each block is filtered using a fractional mask, and then an absolute distance is used as a similarity criterion for block matching to form a low rank group matrix. Furthermore ...

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    2. Feature-oriented singular value shrinkage for optical coherence tomography image

      Feature-oriented singular value shrinkage for optical coherence tomography image

      Optical coherence tomography (OCT) is a non-invasive optical imaging modality that has been widely used in the field of medical diagnosis. However, OCT images are often degraded by speckle noise. To address this problem, this paper proposes a two-stage feature-oriented singular value shrinkage algorithm in a low-rank approximation framework, for speckle noise reduction and contrast enhancement of intra-retinal layers of OCT images. First, a weighted absolute distance is employed to find nonlocal similar patches that exhibit high correlation to a given reference one. Next, the singular values of the group matrix formed by similar patches are shrunk by mixed thresholding ...

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    1-2 of 2
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    1. (1 articles) UC Davis
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