基于Karhunen-Loève变换和小波谱特征矢量量化的三维谱像数据压缩  

Three-Dimensional Multispectral Image Data Compression Based on Karhunen-Loève Transformation/Wavelet Transformation and Vector Quantification with Spectral Feature Coding

作　　者：闫敬文[1] 沈贵明[1] 胡晓毅[1] 许芳[1] 

机构地区：[1]厦门大学电子工程系,厦门361005

出　　处：《光学学报》2003年第10期1163-1167,共5页Acta Optica Sinica

基　　金：福建省自然科学基金 (A0 2 10 0 0 2 );模式识别国家重点实验室开放基金;国家留学基金资助课题

摘　　要：提出了基于Karhunen Lo埁ｖｅ变换的小波谱特征矢量量化三维谱像数据压缩方法耍幔颍瑁酰睿澹?Lo埁ｖｅ变换 /小波变换 /小波谱特征矢量量化方法应用了Karhunen Lo埁ｖｅ变换的消除谱相关性优良性能 ,应用二维小波变换消除空间相关性 ,在小波变换域内应用二维集分割嵌入块编码和一维谱特征矢量量化对三维谱像数据压缩 ,获得较高的压缩性能。实验结果表明 :Karhunen Lo埁ｖｅ变换 /小波变换 /小波谱特征矢量量化编码比Karhunen Lo埁ｖｅ变换 /小波变换 /改进对块零树编码和Karhunen Lo埁ｖｅ变换 /小波变换 /快速矢量量化编码方法在同样压缩比条件下 ,峰值信噪比提高 2dB和 1dB以上 ,而速度提高了 1.5和 8倍 。A new method for three-dimensional multispectral image data compression based on an improved Karhunen-Loève Transformation (K-LT)/wavelet transformation spectral feature coding vector quantification (WSFCVQ) is proposed. Three-dimensional Karhunen-Loève transformation/wavelet transformation/spectral feature coding vector quantification (SFCVQ) implement three-dimensional compression for three-dimensional multispectral image data with two-dimensional set partition embedded block (SPECK) and one-dimensional spectral feature vector quantification (SFVQ) coding, applying Karhunen-Loève transformation to exploit the spectral correlation in multispectral image data and using two-dimensional wavelet transformation (WT) to remove the spatial redundancy in the multispectral image data, and a high compression performance is got as well. Experimental results show: if Karhunen-Loève transformation/wavelet transformation/wavelet spectral feature coding vector quantification (WSFCVQ) method are compared with the method of Karhunen-Loève transformation/wavelet transformation/improvement BiBlock zero tree coding (IBBZTC) and the method of Karhunen-Loève transformation/wavelet transformation/fast speed vector quantification (FSVQ), the peak signal to noise ratio (PSNR) is enhanced by over 2 dB and 1 dB, the compression speed increased by 1.5 and 8 times respectively, and the total compression performance is greatly improved.

关 键 词：Karhunen-loève变换 小波谱 矢量量化 数据压缩 三维谱像 小波变换 遥感图像处理 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]