基于谱间和帧内差分脉冲编码调制的超光谱图像无损压缩 -

姓名
邮箱
手机号码
标题
留言内容
验证码

基于谱间和帧内差分脉冲编码调制的超光谱图像无损压缩

doi:10.3788/CO.20130606.863

王军^,

中国航天科工集团第九总体设计部, 湖北武汉 430040

详细信息

作者简介:
王军（1981-），男，陕西西安人，硕士，高级工程师，2003年、2007年于西安科技大学分别获得学士、硕士学位，主要从事数字图像信号处理方面的研究。E-mail：king090903@aliyun.com

通讯作者:
王军

中图分类号:TP751
计量
- 文章访问数:2788
- HTML全文浏览量:620
- PDF下载量:650
- 被引次数:0
出版历程
- 收稿日期:2013-09-15
- 修回日期:2013-11-18
- 刊出日期:2013-12-10

Hyper-spectral image lossless compressing based on spectral DPCM and intra-DPCM

WANG Jun^,

The Ninth Institute, China Aero Space Science &Industry Corporation, Wuhan 430040, China

摘要

摘要:以超光谱遥感图像为研究对象，分析了干涉成像光谱仪获取图像的谱间和空间相关性，提出一种三维差分脉冲编码调制（DPCM）无损压缩方案。首先进行了谱间DPCM预测；然后，对残差图像进行帧内DPCM预测；最后，对差分码流进行二值自适应算术编码。实验表明，该算法可实现无损压缩，压缩比平均可达1.662，较二维整数小波变换算法提高了15.6%，且算法复杂度较低，仅有加减和移位运算，易于硬件实现。
- 超光谱图像/
- 无损压缩/
- 谱间差分脉冲编码调制/
- 帧内差分脉冲编码调制/
- 二值自适应算术编码
Abstract:By focusing on hyper-spectral remote sensing images, the spectral correlation and spatial correlation of images from an interferential imaging spectrometer was analyzed. A 3D Differential Pulse Code Modulation(DPCM) lossless compression scheme was submitted. This scheme includes three aspects:spectral DPCM, intra-DPCM to prediction error image and adaptive bit-level arithmetic coding to differential coefficients. The experimental data show that the algorithm has achieved lossless compression and the average of compression ratio is up to 1.662, 15.6% increasement in comparison with that of the 2D integer wavelet transform. This algorithm uses addition-subtration and shifts to complete data compression, which is easier for hardware implementation.
- hyper-spectral image/
- lossless-compressing/
- spectral Differential Pulse Code Modulation(DPCM)/
- intra-DPCM/
- adaptive bit-level arithmetic coding

HTML全文

参考文献 (1)

[1] 张雷,黄廉卿. 超光谱图像数据压缩方法综述[J]. 光机电信息,2005,1(4):30-33. ZHANG L,HUANG L Q. Summarization of hyper-spectral image data compression algorithms[J].OME Information,2005,1(4):30-33.(in Chinese) [2] 汤毅,辛勤,李纲,等. 基于内容的高光谱图像无损压缩[J]. 光学精密工程,2012,(3):668-674. TANG Y,XIN Q,LI G,et al.. Lossless compression of hyperspectral images based on contents[J].Opt. Precision Eng.,2012,(3):668-674.(in Chinese) [3] 张宁,吴银花,金龙旭,等. 适于航天应用的高速SPIHT图像压缩算法[J]. 液晶与显示,2011,26(6):847-852. ZHANG N,WU Y H,JIN L X,et al.. Image compression algorithm of high-speed SPIHT for aerial applications[J].Chinese J. Liquid Crystals and Displays,2011,26(6):847-852.(in Chinese) [4] 杨建强, 侯建军, 刘亮. 基于K-means聚类和SPIHT编码的红外图像压缩算法研究[J]. 光学与光电技术,2012,10(6):94-97. YANG J Q, HOU J J, LIU L. Infrared image compression algorithm based on k-means clustering and SPIHT encoding[J].Opt. Optoelectronic Technol.,2012,10(6):94-97.(in Chinese) [5] 朱明,高文,郭立强. 压缩感知理论在图像处理领域的应用[J]. 中国光学,2011,4(5):441-447. ZHU M,GAO W,GUO L Q. Application of compressed sensing theory in image processing[J].Chinese Optics,2011,4(5):441-447.(in Chinese) [6] 吴小华,李自田,张帆. 干涉超光谱图像分析与近无损压缩CPLD实现[J]. 光子学报,2005,34(9):1346-1348. WU X H,LI Z T,ZHANG F. Analysis and near-lossless compression based on CPLD of interference hyper-spectral image[J].Acta Photonica Sinica,2005,34(9):1346-1348.(in Chinese) [7] 周有喜,肖江. 遥感干涉超光谱图象压缩编码[J]. 光子学报,2005,34(4):594-597. ZHOU Y X,XIAO J. The image compression scheme for remote sense superspectral images[J].Acta Photonica Sinica,2005,34(4):594-597.(in Chinese) [8] 张春田,苏育挺,张静.数字图像压缩编码[M]. 北京:清华大学出版社, 2006. ZHANG CH T,SU Y T,ZHANG J.Digital Image Compression Coding[M]. Beijing:Tsinghua University Press,2006.(in Chinese) [9] 谢林,虞露,仇佩亮. 基于上下文的自适应二进制算术编码研究[J]. 浙江大学学报,2005,39(6):910-915. XIE L,YU L,QIU P L. Resarch on context-based adaptive binary arithmetic coding[J].J. Zhejiang Univ.,2005,39(6):910-915.(in Chinese) [10] 严哲南,赵风光. 一种适合硬件实现的高效算术编码[J]. 通信学报,2000,21(2):86-89. YAN ZH N,ZHAO F G. A efficient arithmetic codes suiting for hardware design[J].J. China Institutes Communications,2000,21(2):86-89.(in Chinese) [11] 尹传历,李嘉全. 基于位平面的嵌入式超光谱图像压缩系统[J]. 液晶与显示,2012(2):245-249. YIN CH L,LI J Q. Embedded hyper-spectral image compression system based on bit-plane[J].Chinese J. Liquid Crystals and Displays,2012(2):245-249.(in Chinese) [12] 王建军,刘波. 适于硬件实现的无损图像压缩[J]. 光学精密工程,2011,19(4):922-928. WANG J J,LIU B. Hardware implementation of lossless image compression[J].Opt. Precision Eng.,2011,19(4):922-928.(in Chinese)

施引文献

附加信息 (0)

访问统计