基于改进提升小波的数字图像压缩与网络传递算法  

Digital Image Compression and Network transmission Algorithm based on Improved Lifting Wavelet

作　　者：郑浩[1,2] 刘建芳[2] 马飞[1,2] 

机构地区：[1]平顶山学院软件学院,河南平顶山467000 [2]武汉大学计算机学院,湖北武汉430000

出　　处：《计算机仿真》2015年第9期214-217,共4页Computer Simulation

摘　　要：针对传统的小波视频图像压缩技术由于小波系数特点及按照频率特性量化小波系数的不足,造成压缩图像严重受损的问题,提出改进的思路,即提出CDF(2,2),CDF(2,4)快速整数双正交小波变换,解决正交性和对称性的矛盾,并针对图像资源约束的网络通信节点对算法进行改进。在满足图像压缩数据精度要求的前提下,采用阈值化的方式,建立一种小波系数索引的数据结构,使部分近似为0的图像细节分量值阈值化为0值。将值为0的细节分量值从小波系数中舍弃,完成图像无损压缩。通过实验验证了这种改进的图像数据压缩方法的有效性和优越性,有效地减少网络中图像数据的通信量,节省整个网络的能量消耗。Aiming at the severe damaged problem of compression image by using traditional wavelet video image compression technology due to the inefficient of the characteristic of wavelet coefficient and the quantization of wavelet coefficients according to the frequency characteristic, an improved idea is proposed, namely that the CDF （2,2） and CDF （2,4） fast integer biorthogonal wavelet transform, to solve the contradiction of orthogonal and symmetry, and the algorithm is improved in view of the network communication node of the image resource constraints. Under the premise of the requirements of image compression data accuracy, the way of thresholding is used to establish a kind of data structure of wavelet coefficient index, so that part of the image detail component value approximation for 0 is made thresholding for a value of 0. The detail component value which value is equal 0 is abandoned from the wavelet coefficients, to complete the lossless compression of image. Through the experiment, the effectiveness and superiority of the improved image data compression method is verified, which can effectively reduce the communication amount of the image data in the network and save the energy consumption of the whole network.

关 键 词：压缩算法 小波变换 双正交小波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]