基于方向角预测三维小波变换的干涉多光谱图像压缩

李云松; 马静; 吴成柯

光学学报, 2008, 28 (12): 2281, 网络出版: 2008-12-17

基于方向角预测三维小波变换的干涉多光谱图像压缩

Three-Dimensional Orientation Prediction-Based Wavelet Transform for Interference Multi-Spectral Images Compression

论文大纲

李云松 ^*马静吴成柯

作者单位

西安电子科技大学综合业务网国家重点实验室, 陕西西安710071

信息光学光谱压缩方向小波变换干涉多光谱 information optics spectrum compression orientation prediction-based wavelet transform interference spectral images

摘要

根据大孔径静态干涉多光谱图像的成像特点, 提出一种基于方向角预测的三维小波变换。这种三维小波变换的新颖之处在于它将方向预测结合到三维提升小波中。这样每次提升小波中的预测可在相关性最强的方向上进行而不需总是局限在变换的方向上。实验证明, 对于干涉多光谱图像这种方向性很强的立体图像序列, 基于方向角预测的三维小波变换比原始三维提升小波变换有明显改进, 在相同的量化编码下, 基于方向角预测的三维小波变换比原始三维提升小波变换提高1 dB左右。经该种方法压缩的图像的光谱特性也得到明显改善。

Abstract

According to the characteristics of large aperture static imaging spectrometer (LASIS), a three-dimensional (3D) orientation prediction-based wavelet transform method is proposed. The novelty of this method is that it combines directional prediction into 3D-wavelet. In this way, the prediction selects pixel in the most correlative direction and is not limited on the prediction direction. The experimental results show that this 3D orientation prediction wavelet improves the performance of wavelet obviously particularly on LASIS image with quite severe direction. Followed with the same quantization and coding methods, the proposed method outperforms the original 3D lifting wavelet by 1 dB. Meanwhile, the spectrums recovered by the proposed method also possesses better performance.

参考文献

[1] 相里斌, 赵葆常, 薛鸣球. 空间调制干涉成像光谱技术[J]. 光学学报, 1998, 18(1): 18～22

Xiangli Bin, Zhao Baochang, Xue Mingqiu. Spatially modulated imaging interferometry[J]. Acta Optica Sinica, 1998, 18(1): 18～22

[2] 邓家先, 李太君. 基于分类和曲线拟合的干涉超光谱图像压缩[J]. 光学学报, 2007, 27(1): 45～51

Deng Jiaxian, Li Taijun. Interference hyper-spectral images compression based on classification and curve-fitting[J]. Acta Optica Sinica, 2007, 27(1): 45～51

[3] 李云松, 吴成柯, 陈军等. 基于小波的干涉多光谱卫星图像压缩方法[J]. 光学学报, 2001, 21(6): 691～6954

Li Yunsong, Wu Chengke, Chen Jun et al.. Spectral satellite image compression based on wavelet transform[J]. Acta Optica Sinica, 2001, 21(6): 691～695

[4] 马静, 吴成柯, 陈东等. 基于加权率失真优化SPIHT算法的干涉多光谱图像压缩[J]. 光学学报, 2007, 27(3): 430～436

Ma Jing, Wu Chengke, Chen Dong et al.. Compression of interference spectral image based on weighted rate-distortion optimization for SPIHT[J]. Acta Optica Sinica, 2007, 27(3): 430～436

[5] . Dragotti, G. Poggi, ARP Ragozini. Compression of multispectral images by three-dimensional SPIHT algorithm[J]. IEEE Transactions on Geosciences and Remote Sensing, 2000, 1(38): 416-428.

[6] Ma Jing, Wu Chengke, Chen Dong et al.. Optical design and data processing of LASIS[J]. IEICE Technical Report SANE, 2006, 279～283

[7] . A new compression and error-correction scheme for interference spectral images in deep space communication[J]. China Communications, 2006, 3(6): 57-62.

[8] . Sweldens. The lifting scheme: a custom-design construction of biorthogonal wavelets[J]. Appl. Comput. Harmon. Anal., 1996, 3(2): 186-200.

[9] . Sweldens. The lifting scheme: a construction of second generation wavelets[J]. SIAM J. Math. Anal., 1997, 29(2): 511-546.

[10] JPEG2000 Part-1 Standard, ISO/IEC 15444～1

[11] . Gerek, A. Enis Cetin. A 2D orientation-adaptive prediction filter in lifting structures for image coding[J]. IEEE Trans. On Image Processing, 2006, 15(1): 106-111.

[12] Ding Wenpeng, Wu Feng, Li Shipeng. Lifting-based wavelet transform with directionally spatial prediction[J]. Picture Coding Symposium, 2004, 483～488

[13] Lempel A. Compression of individual sequences via variable-rate coding[J]. IEEE Transactions on Information Theory., 24(5): 530～536

李云松, 马静, 吴成柯. 基于方向角预测三维小波变换的干涉多光谱图像压缩[J]. 光学学报, 2008, 28(12): 2281. Li Yunsong, Ma Jing, Wu Chengke. Three-Dimensional Orientation Prediction-Based Wavelet Transform for Interference Multi-Spectral Images Compression[J]. Acta Optica Sinica, 2008, 28(12): 2281.

基于方向角预测三维小波变换的干涉多光谱图像压缩

关于本站 Cookie 的使用提示

全站搜索

基于方向角预测三维小波变换的干涉多光谱图像压缩

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索