CAJ | 학술논문

针对传统的基于小波变换的压缩方法具有方向选择性差的缺陷，将 Contourlet 变换与小波变换相结合，并提出图像纹理度的概念，结合人眼视觉特性实现 Contourlet 方向变换的最优分解，并在此基础上采用 SPECK 算法对岩心图像进行压缩编码。实验结果表明：改进后算法的压缩效果明显好于 SPECK算法，并能更有效地保留岩心图像的边缘和纹理特征。
침대전통적기우소파변환적압축방법구유방향선택성차적결함，장 Contourlet 변환여소파변환상결합，병제출도상문리도적개념，결합인안시각특성실현 Contourlet 방향변환적최우분해，병재차기출상채용 SPECK 산법대암심도상진행압축편마。실험결과표명：개진후산법적압축효과명현호우 SPECK산법，병능경유효지보류암심도상적변연화문리특정。
Considering the wavelet transform-based traditional compression method’s direction selectivity de-fects,combining Contourlet transform with wavelet transform was proposed,including the idea of image texture degree and human visual system(HVS)to achieve optimal decomposition of the Contourlet direction transform and then to adopt SPECK algorithm to compress and encode core images.The experimental results show that, the compression effect of improved algorithm outperforms the SPECK algorithm and it can save edginess and texture features of the image more effectively.