Image reconstruction using data-dependent triangulation

作者：Xiao-Hua Yu, Brent Bryan, Thomas W. Sederberg · 发表于：IEEE Computer Graphics and Applications · 年份：2001 · DOI：10.1109/38.920628 · 被引用次数：62 · 研究领域：Advanced Vision and Imaging、Medical Image Segmentation Techniques、Cell Image Analysis Techniques

Image reconstruction based on data-dependent triangulation with new cost functions and optimization can create higher quality images than traditional bilinear or bicubic spline reconstruction. The article presents a novel method for image reconstruction using a piecewise linear intensity surface whose elements don't generally align with the coordinate axes. This method is based on the technique of data-dependent triangulation (DDT) that N. Dyn et al. (1990) introduced and has proven capable of producing more pleasing reconstructions than axis-aligned methods.