摘要
借鉴Contourlet变换和WBCT的思想,采用Contourlet和小波相结合的变换,并根据变换后系数的特殊结构,提出了一种新的空间方向树结构,实现了对变换后系数的类似SPIHT编码,达到了对图像压缩的目的。实验表明,该算法能更好地恢复图像的纹理和细节信息,并在低比特率下具有较高的峰值信噪比。
A Mixed Contourlet and Wavelet Transform（MCWT） is employed according to Contourlet Transform and Wavelet based Contourlet Transform（WBCT）.Due to particularity of the MCWT coefficients,a new spatial orientation tree is proposed to perform the Set Partitioning In Hierarchical Trees coding algorithm.Experimental results demonstrate that the proposed algorithm perform high Peak Signal to Noise Ratio（PSNR） at low bit rate,and it can keep more contours and textures in the reconstructed images.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第27期168-170,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.60772133~~
