东南大学学报（英文版）2022，Vol.38Issue(1)：42-48,7.DOI:10.3969/j.issn.1003-7985.2022.01.007
基于非整数量化的数字图像相关中位移场的数据压缩
Data compression of displacement fields in digital image correlation by non-integer quantization
摘要
Abstract
To solve the real-time transmission problem of displacement fields in digital image correlation,two compression coding algorithms based on a discrete cosine transform(DCT)and discrete wavelet transform(DWT)are proposed.Based on the Joint Photographic Experts Group(JPEG)and JPEG 2000 standards,new non-integer and integer quantizations are proposed in the quantization procedure of compression algorithms.Displacement fields from real experiments were used to evaluate the compression ratio and computational time of the algorithm.The results show that the compression ratios of the DCT-based algorithm are mostly below 10％,which are much less than that of the DWT-based algorithm,and the computational speed is also significantly higher than that of the latter.These findings prove the algorithm's effectiveness in real-time displacement field wireless transmission.关键词
数字图像相关/无线传输/位移场/压缩编码Key words
digital image correlation/wireless transmission/displacement field/compression encoding分类
信息技术与安全科学引用本文复制引用
陈文武,邵新星,何小元..基于非整数量化的数字图像相关中位移场的数据压缩[J].东南大学学报（英文版）,2022,38(1):42-48,7.基金项目
The National Natural Science Foundation of China(No.11827801,11902074). （No.11827801,11902074）
