分布式压缩的图像关联重建方法

A Correlative Image Reconstruction Method Based on Distributed Compression

针对通信网络有限带宽传输大数据量图像信息的瓶颈问题,提出了基于系数整合法的分布式压缩传输的图像重建新方法,首先通过对原图像进行分块小波变换获得子图像小波系数向量,从而大大降低压缩编码系统的数据传输量,再对压缩编解码的子图像小波系数进行关联处理,形成原图像的整体小波变换系数向量,最后采用小波反变换实现原图像的重构。仿真分析结果表明,本方法计算量小,数据存储低,并具有高质量的图像重建效果。

Due to the bottleneck of large image information transmitted by the band - limited communication net- work, a new image reconstruction method based on distributed compression and transmission based on coefficient conformity is proposed in this paper. The wavelet coefficients vector of the sub image is obtained through the wavelet transform at first, the data of compression coding system is reduced, then the coefficients are disposed correlatively to form the whole wavelet transform coefficients vector of the original image, and finally the recon- structed image is obtained via the inverse wavelet transform. Simulation result illustrates that this method is fea- tured by low calculate, low storage and high reconstructed quality.