首页 | 本学科首页   官方微博 | 高级检索  
     


Adaptive entropy-coded pruned tree-structured predictive vectorquantization of images
Authors:Kim   Y.H. Modestino   J.W.
Affiliation:Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY;
Abstract:Simpler versions of a previously introduced adaptive entropy-coded predictive vector quantization (PVQ) scheme where the embedded entropy constrained vector quantizer (ECVQ) is replaced by a pruned tree-structured VQ (PTSVQ) are described. The resulting encoding scheme is shown to result in drastically reduced complexity at only a small cost in performance. Coding results for selected real-world images are given
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号