摘要
为提高数字图书馆图像高质量存储和利用能力,探索一种基于db5小波基函数的图像压缩方法,主要分析小波分解层数对压缩结果的影响,对不同层数小波分解后的压缩图像进行了标引、检索实验。结果表明,随着分解层数的增加,小波分解后压缩图像所占内存明显减小,但是存在部分失真;而db5小波基函数进行二层分解后的压缩图像能取得最佳的检索精度以及较好的图像质量,适合在图书馆中广泛运用与推广。
In order to improve the storage and utilization of digital library image with high quality,this paper introduces an image compression method based on db5 wavelet basis function,it mainly analyzes the number of layers in wavelet decomposition,and carries out image indexing and retrieval experiments on the compressed image after different layers of wavelet decomposition.The experimental results show that with the increase of the number of decomposition layers,the size of the compressed image after wavelet decomposition is obviously reduced,while there is partial distortion.The best retrieval accuracy can be obtained by choosing db5 wavelet basis function for the compressed image after two-layer decomposition.
作者
包翔
汪满容
刘桂锋
BAO Xiang;WANG ManRong;LIU GuiFeng(Institute of Science and Technology Information,Jiangsu University,Zhenjiang 212013,China)
出处
《数字图书馆论坛》
CSSCI
2020年第8期56-62,共7页
Digital Library Forum
基金
江苏省高校哲学社会科学研究一般项目“主题模型在高校图书馆知识产权信息服务中的研究与实践”(编号:2019SJA1870)资助
关键词
图书馆
db5
小波基函数
图像压缩
Library
db5
Wavelet Basis Function
Image Compression
