基于Brushlet变换的SAR图像SPIHT压缩算法  

SAR Image Compression Algorithm Based on SPHIT via Brushlet Transform

作　　者：王鑫华[1,2] 

机构地区：[1]海军驻航天科技集团第七研究院军事代表室,四川成都610100 [2]华中科技大学数字制造装备与技术国家重点实验室,湖北武汉430074

出　　处：《微电子学与计算机》2010年第5期14-16,21,共4页Microelectronics & Computer

基　　金：国家自然科学基金项目(50675079)

摘　　要：提出一种基于Brushlet多方向变换特点的SPHIT编码算法,并将其应用于SAR图像压缩编码中,通过对真实SAR图像的压缩实验表明,相比于传统的小波编码方法,Brushlet变换域的SPHIT算法能获得更好的压缩性能,提高了解码后的PSNR值,并且较好地保留了图像细节特征和提高了可视性.Brushlet is a novel tool for image directionality analysis, which is adopted in image fusion and texture classification successfully. A new SAR image compression algorithm is proposed, which is based on SPIHT coding of the Brushlet multi-direction decomposition coefficients. The encoding experiments on real SAR image demonstrate that the proposed method outperforms the conventional wavelet-based methods. The higher PSNR is thus obtained. The detail of reconstructed SAR image can be well preserved and better visual effect can be achieved by SPIHT via Brushlet transform.

关 键 词：BRUSHLET变换 多方向 SPIHT SAR图像压缩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]