JPEG2000 compression  for remote sensing images with precise quality control

SONG Bei-bei; SUN Wen-fang

doi:10.3788/OPE.20132108.2180

您当前的位置：

首页 >

文章列表页 >

JPEG2000 compression for remote sensing images with precise quality control

更新时间：2020-08-12

- JPEG2000 compression for remote sensing images with precise quality control
- Optics and Precision Engineering Vol. 21, Issue 8, Pages: 2180-2186(2013)
- 作者机构：
  
  1. 长安大学信息工程学院,陕西西安,710064
  2. 中国空间技术研究院西安分院,陕西西安,710100
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132108.2180
  CLC： TP752
- Received：29 January 2013，
  
  Revised：19 March 2013，
  
  Published Online：20 August 2013，
  
  Published：15 August 2013
- 稿件说明：
移动端阅览
宋蓓蓓孙文方. 精确质量控制的遥感图像JPEG2000压缩方法[J]. 光学精密工程, 2013,21(8): 2180-2186

SONG Bei-bei SUN Wen-fang. JPEG2000 compression for remote sensing images with precise quality control[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 2180-2186
宋蓓蓓孙文方. 精确质量控制的遥感图像JPEG2000压缩方法[J]. 光学精密工程, 2013,21(8): 2180-2186 DOI： 10.3788/OPE.20132108.2180.

SONG Bei-bei SUN Wen-fang. JPEG2000 compression for remote sensing images with precise quality control[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 2180-2186 DOI： 10.3788/OPE.20132108.2180.

摘要

提出了一种精确控制图像压缩质量的遥感图像JPEG2000压缩方法。根据小波变换的完全重构和子带系数量化误差统计独立特性，建立了压缩图像峰值信噪比质量指标与小波系数编码量化误差的数学表达关系式。在传统JPEG2000率失真理论的基础上，建立以压缩图像质量为目标，最小化编码码率的模型，并给出了压缩图像质量控制的码流优化截取方法。对标准测试图像以及卫星遥感图像进行实验，并与传统JPEG2000方法进行比较。结果显示，该方法具有相同的编码架构和复杂度，能够精确控制压缩图像质量，控制精度小于1%。对于序列多幅遥感图像，在相同平均码率条件下，提出的方法具有更高的整体压缩图像峰值信噪比。

Abstract

A remote sensing image JPEG2000 compression scheme with precise quality control was proposed. According to the perfect reconstruction of wavelet filter banks and the statistical independence of subband coefficient quantization error

a mathematical expression formula was established to describe the relation between the peak signal to noise ratio and the wavelet coefficient quantization error. Based on the traditional JPEG2000 rate distortion model

a distortion-based rate minimization model was constructed and optimization truncation coding stream to obtain a desired target image compression quality was given. An experiment on standard test images and satellite remote sensing image was performed and obtained results were compared with that of the conventional rate-based distortion minimization JPEG2000 encoding. Results indicate that the new method has the same coding structure and computing complexity

and it can accurately control the compression image quality with an average control precision less than 1%. In addition

this proposed method has higher global compression im-age peak signal to noise ratio at the same total coding rate for sequence remote sensing images.

关键词

Keywords

references

TAUBMAN D. High-performance scalable image compression with EBCOT [J]. IEEE Transactions on Image Processing, 2000, 9(7):1158-1170.[2]TAUBMAN D, MARCELLIN M. JPEG2000 Image Compression Fundamentals, Standards and Practice [M]. USA: Kluwer Academic Publishers, 2002.[3]孟伟, 金龙旭, 韩双丽. 二维提升小波的VLSI结构设计及FPGA验证[J]. 液晶与显示,2011,26 (3): 404-408.MENG W, JIN L X, HAN SH L. Design of VLSI architecture of 2D lifting wavelet and FPGA verification [J].Chinese Journal of Liquid Crystals and Displays, 2011,26 (3): 404-408.( in Chinese)[4]杜列波, 肖学敏, 罗武胜,等. 星载遥感图像JPEG 2000压缩算法的去量化[J].光学精密工程,2009, 17(3):690-694.DU L B, XIAO X M, LUO W SH, et al.. Quantification removing for satellite on-board remote image JPEG2000 compression algorithm [J]. Opt. Precision Eng., 2009, 17(3):690-694.(in Chinese)[5]TAUBMAN D.Kakadu Software[EB/OL]. (2001-09-25)[2012-07-23].http://www. kakadusoftware.com/.[6]MICHAEL D A.JasPer Software[EB/OL]. (1999-05-20)[2006-12-07].http://www.ece. uvic.ca/~frodo/jasper/.[7]Communications and Remote Sensing Lab(UCL).OpenJPEG Home Page[EB/OL]. (2004-05-03)[2012-11-19].http://www.openjpeg.org/.[8]杜伟娜,孙军,倪强. 基于JPEG2000的高效率控制算法[J]. 上海交通大学学报,2006,40(1):16-19.DU W N, SUN J, NI Q. An efficient rate control scheme for JPEG2000[J].Journal of Shang Hai Jiao Tong University, 2006, 40(1):16-19.( in Chinese)[9]庄怀宇. 内嵌图像编码中高效码率控制技术研究[D].西安：西安电子科技大学博士学位论文,2006. ZHUANG H Y. Researches on high efficiency rate control for embed image coding [D]. Xian:Xidian University,2006.(in Chinese)[10]FRANCESC A L, JOAN S S. JPEG2000 quality scalability without quality layers [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18(7):923-936.[11]FRANCESC A L, JOAN S S, JOAN B R. Enhanced JPEG2000 quality scalability through block-wise layer truncation [J]. EURASIP Journal on Advances in Signal Processing, 2010,2010:1-11.[12]陶宏江, 韩双丽, 张宇,等. 基于ADV212的远程图像采集系统设计[J].液晶与显示, 2013, 28 (1): 105-109.TAO H J, HAN SH L, ZHANG Y, et al.. Design of remote image collection system based on ADV212 [J].Chinese Journal of Liquid Crystals and Displays, 2013, 28 (1): 105-109. (in Chinese)[13]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, 20(3):668-674.TANG Y, XIN Q, LI G, et al.. Lossless compression of hyperspectral images based on contents [J]. Opt. Precision Eng., 2012, 20(3):668-674.(in Chinese)[14]刘春香,郭永飞,李宁,等.星上多通道遥感图像的实时合成压缩[J].光学精密工程, 2013,21(2):445-453.LIU CH X, GUO Y F, LI N, et al.. Composition and compression of satellite multi-channel remote sensing images [J]. Opt.Precision Eng.,2013,21(2): 445-453.( in Chinese)[15]PARISOT C, ANTONINI M, BARLAUD M. Stripe-based MSE control in image coding[C]. 2002 International Conference on Image Processing, Piscataway, NJ, USA, 2002, 2：649-652.[16]LIU Z, KARAM L J, WATSON A B. JPEG2000 encoding with perceptual distortion control [J]. IEEE Transactions on Image Processing, 2006,15(7):1763-1778.[17]MALLAT S. A Wavelet Tour of Signal Processing [M]. 3rd Edition. San Diego: Academic Press, 2008.

Views

102

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Efficient coding method for deep space detection Bayer pattern image

Compression for UAV reconnaissance images

Image compression algorithm based on adaptive exp-Golomb coding

Remote sensing image compression based on fast direction prediction

Hardware implementation of lossless image compression

Related Author

Jie LEI

Lu-lu YU

Xiao-hong LUO

Yun-song LI

WANG Yuan-yuan

HUANG Da-qing

SUN Jian1

Related Institution

State Key Laboratory of Integrated Services Networks, Xidian University, Xi′an

Electronic Information Engineering College, Nanjing University of Aeronautics and Astronautics

UAV Research Institute, Nanjing University of Aeronautics and Astronautics

Institute of Optics and Electronics, Chinese Academy of Sciences

University of Chinese Academy of Sciences

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰