摘要
随着各种电子设备的不断发展,产生了大量的数字化图像信息,而好的图像压缩技术在信息高速发展的今天就显得非常重要,寻求压缩比高且失真度低的压缩算法迫在眉睫。小波变换因其在时频域的局部优化特性被广泛运用。基于图像压缩及算法等基本理论,研究了嵌入式小波零树编码算法的基本理论和算法的实现过程,并通过MATLAB进行图例仿真,运用主观及客观的评价方法对仿真所得图像、数据进行分析,实验表明基于嵌入式零树编码算法可以实现图像的较高压缩比,且失真度较低,具有可行性和有效性。
Nowadays,the demand for digital images is increasing.With the continuous development of various electronic devices,a large number of digital image information has been produced.But the development is far from the storage resources and transmission bandwidth provided by the current hardware technology,which affects the transmission and storage of image information.Therefore,good image compression technology has become very important in the rapid development of information today,and it is urgent to seek a compression algorithm with high compression ratio and low distortion.Wavelet transform is widely used for its local optimization in time-frequency domain.This paper first describes the background of image compression,research status and compression principles and other basic theories,and then introduces the image compression algorithms.Finally,the basic theory of embedded zero-tree wavelets encoding algorithm and the realization process of the algorithm are studied,and the legend simulation is carried out by MATLAB.The subjective and objective evaluation methods are used to analyze the simulated images and data.
作者
荀燕琴
任国凤
田竹梅
吴莹莹
XUN Yanqin;REN Guofeng;TIAN Zhumei;WU Yingying(Department of Electronic Science,Xinzhou Normal University,Xinzhou 035000,China)
出处
《渭南师范学院学报》
2020年第2期84-92,共9页
Journal of Weinan Normal University
基金
山西省高等学校科技创新项目:面向人脸表情识别的自驱动柔性可拉伸传感器研究(2019L0830)
山西省高等学校教学改革创新项目:面向应用型人才培养的信号处理类课程混合式教学法的研究(J2019174)
忻州师范学院科研项目:基于群体智能优化的机器人路径规划算法研究(2018KY22)
关键词
小波变换
图像压缩
嵌入式零树小波编码
wavelet transform
image compression
embedded zero-tree wavelets encoding
