通信学报2011，Vol.32Issue(3)：69-78,10.
视觉传感器网络中基于散度模型的协作式图像压缩机制
Cooperation image compression algorithm using divergence model for visual sensor networks
摘要
Abstract
Utilizing the feature of cooperation in visual sensor networks, an image compression algorithm based on divergence model was proposed. Analysis and experimental results demonstrate that the compression scheme proposed can reduce the amount of image data effectively. And, due to the information represented by one byte is shared by several cluster nodes' bi-level pixels after compression, the degradation of received images is controlled. Comparing with the traditional image compression algorithms, the quality of received image measured by PSNR is higher, as the average packet loss rate increases.关键词
视觉传感器网络/图像压缩/散度模型/二值量化Key words
visual sensor networks/ image compression/ divergence model/ binary quantization分类
信息技术与安全科学引用本文复制引用
叶松涛,林亚平,易叶青..视觉传感器网络中基于散度模型的协作式图像压缩机制[J].通信学报,2011,32(3):69-78,10.基金项目
国家自然科学基金资助项目(60973031) （60973031）
国家教育部博士点基金资助项目(20100161110025) （20100161110025）
湖南省自然科学基金资助项目(09JJ6097) （09JJ6097）
