基于KL与小波联合变换的多光谱图像压缩

纪强; 石文轩; 田茂; 常帅

doi:10.3788/IRLA201645.0228004

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基于KL与小波联合变换的多光谱图像压缩

纪强, 石文轩, 田茂, 常帅

文章导航 > 红外与激光工程 > 2016 > 45(2): 228004-0228004(7)

纪强, 石文轩, 田茂, 常帅. 基于KL与小波联合变换的多光谱图像压缩[J]. 红外与激光工程, 2016, 45(2): 228004-0228004(7). doi: 10.3788/IRLA201645.0228004

引用本文:

纪强, 石文轩, 田茂, 常帅. 基于KL与小波联合变换的多光谱图像压缩[J]. 红外与激光工程, 2016, 45(2): 228004-0228004(7). doi: 10.3788/IRLA201645.0228004

Ji Qiang, Shi Wenxuan, Tian Mao, Chang Shuai. Multispectral image compression based on uniting KL transform and wavelet transform[J]. Infrared and Laser Engineering, 2016, 45(2): 228004-0228004(7). doi: 10.3788/IRLA201645.0228004

Citation:

Ji Qiang, Shi Wenxuan, Tian Mao, Chang Shuai. Multispectral image compression based on uniting KL transform and wavelet transform[J]. Infrared and Laser Engineering, 2016, 45(2): 228004-0228004(7). doi: 10.3788/IRLA201645.0228004

基于KL与小波联合变换的多光谱图像压缩

doi: 10.3788/IRLA201645.0228004

1.
武汉大学电子信息学院,湖北武汉 430079;
2.
武汉大学遥感信息工程学院,湖北武汉 430079;
3.
长春理工大学空地激光通信技术国防重点学科实验室,吉林长春 130022

基金项目:

国家自然科学基金(61501334)

详细信息

作者简介:
纪强(1969-),男,博士生,主要从事遥感图像处理方面的研究。Email:qiang-ji@163.com

中图分类号: TP391.41

Multispectral image compression based on uniting KL transform and wavelet transform

1.
School of Electronic Information,Wuhan University,Wuhan 430079,China;
2.
School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;
3.
National Defense Key Laboratory of Air to Ground Laser Communication,Changchun University of Science and Technology,Changchun 130022,China

摘要: 鉴于卫星拍摄的遥感图像的空间分辨率和光谱分辨率越来越高,在一些应用中,常会对多光谱图像进行压缩。为了提高多光谱图像的压缩质量,提出了联合相位相关和仿射变换的图像配准方法,有效提高了图像谱段之间的相关性。针对多光谱图像压缩,提出了结合Karhunen-Love,KL变换去除谱间相关和嵌入式二维小波编码方法。相比JPEG2000谱段图像独立压缩方法,提出方法解压图像的Peak Signal to Noise Ratio,PSNR值平均提高2.1 dB。实验结果表明:所提出的方法能在相同的压缩率下获得比JPEG2000谱段图像独立压缩方法更好的图像质量。
- 图像压缩 /
- KL变换 /
- 小波变换 /
- 多光谱图像
Abstract: In view of the fact that spatial resolution and spectral resolution of remote sensing images taken by satellite becomes more and more greater, in some applications, it is needed to compress the multispectral images. An image registration method by phase correlation and affine transformation was proposed in order to improve the multispectral image compression quality. The proposed method effectively improved the correlation between the image spectrums. Aiming at the multispectral image compression problem, the Karhunen-Love, KL transform method, which was used for eliminating correlation between spectrums in the image, and the low complexity two-dimensional wavelet encoding method were put forward. Compared with JPEG2000 independent compression method for each spectrum in an image, the Peak Signal to Noise Ratio, PSNR of decompression image by the proposed method improved 2.1 dB in average. Experimental results show that, under the same compression ratio, in this paper the proposed method can obtain better image quality than the JPEG2000 spectral image independent compression method.
- image compression /
- KL transform /
- wavelet transform /
- multispectral image

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基于KL与小波联合变换的多光谱图像压缩

doi: 10.3788/IRLA201645.0228004

1. 武汉大学电子信息学院,湖北武汉 430079;

2. 武汉大学遥感信息工程学院,湖北武汉 430079;

3. 长春理工大学空地激光通信技术国防重点学科实验室,吉林长春 130022

作者简介:
纪强(1969-),男,博士生,主要从事遥感图像处理方面的研究。Email:qiang-ji@163.com

收稿日期: 2015-06-05
修回日期: 2015-07-15
刊出日期: 2016-02-25

基金项目:

国家自然科学基金(61501334)

中图分类号: TP391.41

关键词:

摘要: 鉴于卫星拍摄的遥感图像的空间分辨率和光谱分辨率越来越高,在一些应用中,常会对多光谱图像进行压缩。为了提高多光谱图像的压缩质量,提出了联合相位相关和仿射变换的图像配准方法,有效提高了图像谱段之间的相关性。针对多光谱图像压缩,提出了结合Karhunen-Love,KL变换去除谱间相关和嵌入式二维小波编码方法。相比JPEG2000谱段图像独立压缩方法,提出方法解压图像的Peak Signal to Noise Ratio,PSNR值平均提高2.1 dB。实验结果表明:所提出的方法能在相同的压缩率下获得比JPEG2000谱段图像独立压缩方法更好的图像质量。

English Abstract

Multispectral image compression based on uniting KL transform and wavelet transform

1. School of Electronic Information,Wuhan University,Wuhan 430079,China;

2. School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;

3. National Defense Key Laboratory of Air to Ground Laser Communication,Changchun University of Science and Technology,Changchun 130022,China

Received Date: 2015-06-05
Rev Recd Date: 2015-07-15
Publish Date: 2016-02-25

Keywords:

Abstract: In view of the fact that spatial resolution and spectral resolution of remote sensing images taken by satellite becomes more and more greater, in some applications, it is needed to compress the multispectral images. An image registration method by phase correlation and affine transformation was proposed in order to improve the multispectral image compression quality. The proposed method effectively improved the correlation between the image spectrums. Aiming at the multispectral image compression problem, the Karhunen-Love, KL transform method, which was used for eliminating correlation between spectrums in the image, and the low complexity two-dimensional wavelet encoding method were put forward. Compared with JPEG2000 independent compression method for each spectrum in an image, the Peak Signal to Noise Ratio, PSNR of decompression image by the proposed method improved 2.1 dB in average. Experimental results show that, under the same compression ratio, in this paper the proposed method can obtain better image quality than the JPEG2000 spectral image independent compression method.