A near exact image expansion scheme for bi-level images

TitleA near exact image expansion scheme for bi-level images
Publication TypeConference Paper
Year of Publication2000
AuthorsZahir, S., A. K. M. Agha, and R. Ward
Conference NameImage Processing, 2000. Proceedings. 2000 International Conference on
Pagination331 -334 vol.2
Date Publishedsep.
Keywordsarea sizing, bi-level images, calligraphy, cartography, DCT-based techniques, discrete cosine transforms, distortion, edge detection, exact bi-level image expansion, high quality edges, image coding, image quality degradation, image resolution, interpolation, look-ahead-and-back procedures, look-up table, medical images, near exact image expansion, pixel replication, pixels chain code connectivity, remote sensing, resized images, satellite imagery, simulation results, spline methods, splines (mathematics), table lookup

Exact bi-level image expansion techniques are required for a wide range of applications such as cartography, calligraphy, medical images, remote sensing, and satellite imagery. Among the methods proposed in the literature are (a) pixel replication; (b) area sizing; (c) interpolation and spline methods; and (d) DCT-based techniques. All these methods generate distortion and noticeable degradation in the quality of images especially around edges. We introduce a new image expansion scheme that produces significantly improved expanded and/or reduced images and maintains high quality edges. This scheme uses an elaborate look-up table that is based on look-ahead-and-back procedures for each pixel and maintains a memory of the pixels' chain code connectivity. The experimental simulation results show that the resized images of the proposed scheme are aesthetically and objectively much better than those of the other methods.


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