基于稀疏分解的分形图像实时压缩系统设计  

Design of real-time fractal image compression system based on sparse decomposition

作　　者：张爱华[1] 唐晓亮 韩杰[1] ZHANG Aihua;TANG Xiaoliang;HAN Jie(Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]南京邮电大学,江苏南京210023

出　　处：《现代电子技术》2020年第17期29-33,共5页Modern Electronics Technique

摘　　要：为全面缩短分形图像的压缩耗时,进而提升实时重构图像的质量条件,设计一种基于稀疏分解的新型分形图像实时压缩系统。利用规范化电源模块提供分形实时串口模块与ADV212图像压缩模块所需的供应电量,在全面整合分形图像信息的同时,完成新型压缩系统的硬件运行环境搭建。在此基础上,对原图像进行稀疏分解处理,根据目的端应用需求,重构图像传输所需的码流组织,再按照图像的最终分形结果配置具体压缩参数,实现重构图像的分形编码,结合相关硬件执行结构,完成基于稀疏分解的分形图像实时压缩系统设计。对比实验结果表明,与常规图像压缩系统相比,应用分形实时压缩系统后,横向基础压缩时间缩短至6.3 s,纵向基础压缩时间缩短至4.6 s,重构图像的质量条件得到有效提升。In order to shorten the compression time of fractal images and improve the quality of real-time reconstruction images,a new real-time fractal image compression system based on sparse decomposition is designed. The standardized power supply module is used to provide the power energy required by the fractal real-time serial port module and the image compression module ADV212. The hardware operating environment of the new compression system is built while the fractal image information is fully integrated. On this basis,original image is processed with sparse decomposition. According to the application demand of the destination end,code stream organization needed for the image transmission is reconstructed,and then the specific parameters are collocated according to the final fractal compression results of the image to implement the fractal coding of the reconstructed image. The design of the real-time fractal image compression system based on sparse decomposition is completed in combination with the relevant hardware performing structure. The experimental results show that,in comparison with the conventional image compression system,the real-time fractal compression system can shorten the compression time of horizontal foundation to 6.3 s and the compression time of vertical foundation to 4.6 s,which can effectively improve the quality conditions of reconstructed images.

关 键 词：分形图像压缩 图像信息整合 稀疏分解 环境搭建 重构图像分形编码 码流传输 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP309[电子电信—信息与通信工程]