SAR Image Compression by Using Neural Network in Wavelet Domain

摘要：

　　According to the characteristic of SAR image containing the multiplicative speckle,a kind of neural network image compression algorithm in wavelet domain was proposed.Wavelet transform can well reflect the characteristics of human vision,but the neural network has self-learning,adaptive,robust,highly parallel processing ability and generalization ability.The wavelet and neural network together in SAR image compression compared with other encoding methods,has obvious advantage.Compared with block-DCT algorithm and sub-band DWT method,this algorithm preserves more advantage in speckle reduction and image details keeping,the compressed image with visual features the best.

关键词： SAR Image Image Compression Wavelet Transform Neural Network

作者: Li Min Zhang Xiaoying Lu Linju

作者单位: School of Physics & Electrical Engineer of Leshan Normal University,Leshan 614000,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 2005-2009

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）