Abstract
In this paper, we propose an inverse quantization method for planar binary images. The expansion and superresolution of digital binary images involve the same mathematical properties because, for the achievement of these processes, we are required to estimate the original boundary from digitized images which are expressed as a collection of pixels. We first estimate an area through which the original boundary curve should pass through. This area is an orthogonal polygon torus whose two boundary curves are orthogonal polygons. Second, applying curvature flow operation to an orthogonal polygon in this area, we estimate a smooth boundary.
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© 2001 Springer-Verlag Berlin Heidelberg
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Imiya, A., Ito, A., Kenmochi, Y. (2001). Inverse Quantization of Digital Binary Images for Resolution Conversion. In: Kerckhove, M. (eds) Scale-Space and Morphology in Computer Vision. Scale-Space 2001. Lecture Notes in Computer Science 2106, vol 2106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47778-0_41
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DOI: https://doi.org/10.1007/3-540-47778-0_41
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