Distortion-constrained compression of vector maps
Alexander Kolesnikov, Alexander Akimov · 2007
An algorithm for lossy compression of vector maps for given error tolerance was developed. The algorithm is based on optimal polygonal approximation and dynamic quantization of vector data. A near optimal distortion-constrained quantizer with step defined by the tolerance level was constructed. The proposed algorithm performed well compared to other approaches.