This letter presents a novel application of iterated function system (IFS) based three-dimensional (3D) fractal interpolation to compression elevation data. The parameters of contractive transformations are simplified by a concise fractal iteration form with geometric meaning. A local iteration algorithm is proposed, which can solve the non-separation problem when Collage Theorem is applied to find the appropriate fractal parameters. The elevation data compression is proved experimentally to be effective in reconstruction quality and time-saving.
© 2005 Chinese Optics Letters
(100.3020) Image processing : Image reconstruction-restoration
(100.6890) Image processing : Three-dimensional image processing
(280.0280) Remote sensing and sensors : Remote sensing and sensors
Siyuan Wu and Yuanhua Zhou, "Elevation data compression using IFS-based three-dimensional fractal interpolation," Chin. Opt. Lett. 2, 582-585 (2004)