1. Adaptive kernel algorithm for FPGA-based speckle reduction

    Image quality from ultrasound and optical coherence tomography (OCT) is degraded by speckle patterns, which limit the detection of small features and cause a loss of image contrast. To reduce speckle patterns, a novel adaptive kernel algorithm suitable for linearly scaled and log-compressed OCT and ultrasound images is presented. This algorithm combines region growing with a stick based approach. For each direction from the center of a square window to its border, a stick length is selected depending on a homogeneity criterion. Such a set of sticks forms an individual filter kernel for each image pixel. The current kernel size ...
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