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Proceedings Paper

Spatial domain algorithm for video-to-printing image resolution conversion
Author(s): Kefu Xue; Ann Winans; Cailong Zhang
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Paper Abstract

It has become increasingly important to get high quality prints from TV or other video signals in the desktop publishing and multi-media environment. Normally, a video signal has very low spatial resolution compared with the spatial resolution of printing devices. Hard copy from direct printing of a video signal is usually very poor in quality. To improve the video signal spatial resolution for printing, the algorithm presented in this paper applies an adaptive spatial interpolation technique to the video signal. The algorithm is based on a computer graphics curve-fitting algorithm with the addition of edge-restricted interpolation to sharpen edges and to enhance image details. Therefore, the new interpolation algorithm will not only improve the spatial resolution but also improve the sharpness of the printed image. In this paper, the aspects of theoretical development of the new algorithm will be discussed and some simulation results will be shown and evaluated to present the effect of the algorithm.

Paper Details

Date Published: 1 August 1990
PDF: 10 pages
Proc. SPIE 1258, Image Communications and Workstations, (1 August 1990); doi: 10.1117/12.19961
Show Author Affiliations
Kefu Xue, Wright State Univ. (United States)
Ann Winans, Wright State Univ. (United States)
Cailong Zhang, Wright State Univ. (United States)


Published in SPIE Proceedings Vol. 1258:
Image Communications and Workstations
Walter Bender; Mitsunaga Saito, Editor(s)

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