东南大学学报（自然科学版）2017，Vol.47Issue(2)：236-241,6.DOI:10.3969/j.issn.1001-0505.2017.02.007
小波域的灰色关联度图像压缩
Image compression based on grey relation in wavelet domain
摘要
Abstract
To improve the ability of image sparse representation of wavelet transform,an image compression algorithm based on the grey relation in the wavelet domain is proposed.First,the test image is decomposed by wavelet transform,and the wavelet coefficient in each scale is obtained.Then,based on the characteristics of the wavelet coefficients,the relation of the coefficients is described based on the grey relation,and the grey relation of the coefficients among different scales is calculated.The wavelet coefficients are classified according to the regional characteristics and the sparse representation method with different types of coefficients is developed.Finally,the proposed algorithm is applied to image compression.The experimental results show that,with the same compression ratio,the objective evaluation index,the ratio of the peak signal to the noise ratio (PSNR),of the compressed image increases by 1.04 to 3.65 dB compared with that of the existing similar algorithms,and the subjective visual quality of the image is also improved.The proposed algorithm can adaptively construct a dictionary by combining the characteristics of coefficients and visual properties,thus improving the ability of image sparse representation and enhancing the image compression performance.关键词
图像压缩/图像稀疏表示/灰色关联度/小波变换Key words
image compression/image sparse representation/grey relation/wavelet transform分类
信息技术与安全科学引用本文复制引用
李洪均,谢正光,王伟..小波域的灰色关联度图像压缩[J].东南大学学报（自然科学版）,2017,47(2):236-241,6.基金项目
国家自然科学基金资助项目(61371111,61371112,61371113,61401241,61601248)、江苏省高校自然科学研究面上资助项目(16KJB510036)、江苏高校品牌专业建设工程资助项目(PPZY2015B135)、江苏省基础研究计划(自然科学基金)资助项目(BK20130393)、南通市应用研究计划基金资助项目(MS12016025). （61371111,61371112,61371113,61401241,61601248）
