Author Login Editor-in-Chief Peer Review Editor Work Office Work

Computer Engineering ›› 2007, Vol. 33 ›› Issue (01): 222-223. doi: 10.3969/j.issn.1000-3428.2007.01.077

• Multimedia Technology and Application • Previous Articles     Next Articles

ATR-directed Image Compression Based on JPEG2000 ROI Mechanism

WANG Yang1, LU Huanzhang1, WANG Gang2   

  1. (1. ATR Key Lab, School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073; 2. Surface-to-Air Air-Defence Equipment Institute, Air Force Equipment Academy, Beijing 100085)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-01-05 Published:2007-01-05

基于JPEG2000 ROI机制面向ATR的图像压缩

汪 洋1,卢焕章1,王 刚2   

  1. (1. 国防科技大学电子科学与工程学院ATR重点实验室,长沙 410073;2. 空军装备研究院防空所五室,北京 100085)

Abstract: How to make the compressed image preserve certain auto target recognition(ATR) performance is an important problem. Region of interest (ROI) mechanism in JPEG2000 standard is an appropriate choice. This paper chooses ROI by constant false alarm ratio(CFAR) detector, then compresses the image by JPEG2000 algorithm. Comparing with JPEG, vector quantization and SPIHT methods, the approach described in this paper preserves better ATR performances.

Key words: JPEG2000, Region of interest(ROI), Image compression, Auto target recognition(ATR), CFAR detector

摘要: 如何使得经过有损压缩后的图像能保持一定程度的自动目标识别(ATR)性能,是一个十分重要的问题。JPEG2000标准中的感兴趣区域(ROI)编码机制是一个恰当的选择。该文根据恒虚警率(CFAR)检测器确定ROI区域,利用JPEG2000算法进行压缩。实验结果表明,在小于0.1bpp的极低码率条件下,提出的算法与JPEG、SPIHT、基本JPEG2000压缩算法相比,压缩后的图像的自动目标识别性能有了较大的改善。

关键词: JPEG2000, 感兴趣区域, 图像压缩, 自动目标识别, 恒虚警率检测器