Sergey Zavalishin

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We propose a new inverse halftonning algorithm based on sparse coding approach, which is able to simultaneously reconstruct the continuous-tone image from the halftonned one and increase spatial image resolution. To achieve this goal, we introduce the halftonning operator that maps the continuous-tone signal into the same representation as the halftonned(More)
In this paper, we propose a novel local contrast enhancement algorithm based on preliminary image segmentation. Our algorithm adjusts contrast to individual image regions and applies further weighed least squares smoothing in order to reproduce brightness transitions similar to original image. We also measure region similarity using color and size features(More)
It is proposed a new algorithm for parallel connected component labeling which applies labels to image runs. The algorithm is designed to efficiently label a text document with a large number of characters inside. In contrast to the existing parallel labeling algorithms, our method benefits from modern CPU architectures; it is designed to operate on image(More)
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