Image expansion using segmentation-based method

TitleImage expansion using segmentation-based method
Publication TypeConference Paper
Year of Publication1999
AuthorsMurad Agha, A. K., R. Ward, and S. Zahir
Conference NameCommunications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Pagination95 -98
Keywordscartography, expanded linear prediction approach, high quality edges, homogenous regions, image expansion, image processing, image segmentation, image segmentation-based method, look-ahead-and-back procedure, medical images, nonstationary regions, prediction theory, reconnaissance photography, satellite imagery
Abstract

Precise image expansion techniques are required for several applications in image processing field. These include reconnaissance photography, cartography, medical images, and satellite imagery. Several methods have been employed for this purpose: (1) pixel replication; (2) area sizing; and (3) interpolation and spline methods. All these methods generate distortion and noticeable degradation in the quality of the image especially on and near edges. We introduce a segmentation-based method that produces significantly improved expanded images and maintains high quality edges. This method segments the image into nonstationary regions and homogenous regions and then expands them separately and via different procedures. Nonstationary regions are expanded using an elaborate look-ahead-and-back procedure. Homogenous regions are expanded using an expanded linear prediction approach. The experimental simulation results show that the expanded images are aesthetically and objectively better than those of other methods

URLhttp://dx.doi.org/10.1109/PACRIM.1999.799486
DOI10.1109/PACRIM.1999.799486

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