Volume 6 Issue 6
Dec.  2013
Turn off MathJax
Article Contents
WANG Jun. Hyper-spectral image lossless compressing based on spectral DPCM and intra-DPCM[J]. Chinese Optics, 2013, 6(6): 863-867. doi: 10.3788/CO.20130606.863
Citation: WANG Jun. Hyper-spectral image lossless compressing based on spectral DPCM and intra-DPCM[J]. Chinese Optics, 2013, 6(6): 863-867. doi: 10.3788/CO.20130606.863

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

  • Received Date: 15 Sep 2013
  • Rev Recd Date: 18 Nov 2013
  • Publish Date: 10 Dec 2013
  • 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.

     

  • loading
  • [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)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(2944) PDF downloads(654) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return