Novel region-based image compression method based on spiking cortical model

作     者：Rongchang Zhao Yide Ma 

作者机构：School of Information Science and Engineering Central South University School of Information Science & Engineering Lanzhou University 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2015年第26卷第1期

页      面：161-171页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0822[工学-轻工技术与工程] 

基　　金：supported by the National Science Foundation of China(60872109) the Program for New Century Excellent Talents in University(NCET-06-0900) 

主　　题：data compaction and compression image processing and computer vision region-based image coding neural network 

摘      要：To get the high compression ratio as well as the high-quality reconstructed image, an effective image compression scheme named irregular segmentation region coding based on spiking cortical model（ISRCS） is presented. This scheme is region-based and mainly focuses on two issues. Firstly, an appropriate segmentation algorithm is developed to partition an image into some irregular regions and tidy contours, where the crucial regions corresponding to objects are retained and a lot of tiny parts are eliminated. The irregular regions and contours are coded using different methods respectively in the next step. The other issue is the coding method of contours where an efficient and novel chain code is employed. This scheme tries to find a compromise between the quality of reconstructed images and the compression ratio. Some principles and experiments are conducted and the results show its higher performance compared with other compression technologies, in terms of higher quality of reconstructed images, higher compression ratio and less time consuming.