Infrared Target Image Compression based on Region of Interest
In order to meet the needs of automatic target recognition (ATR),Infrared target image has been used more frequently than ever.But the transmission question for Infrared target image through Data Link is hard to solve.For the good real-time performance,Image compression based on region of interest (ROI) has been one of the hot issues in the field of image compression and coding.However,there is not a fixed model for region of interest automatically detected.A nestepwise approaching and recurring threshold search algorithm based on 2D(two-dimension) maximum entropy principle was proposed for ROI automatically detected while a compressed scheme based on ROI was studied.An experimental study was also conducted after the compressed scheme realized in the frame of JPEG2000.It was proved that the method of ROI automatic detected not only can meet real-time requirements, but also is reliable, effective and significant in applications.
Infrared Target Image Image Compression Region of Interest (ROI) JPEG2000
Ying Wang Shengzhi Yuan Ao Sun Yufeng Wei
Unit 91550 of PLA,Dalian,Liaoning,China Department of Science and Technology of Weapons,Naval Aerona Department of Science and Technology of Weapons,Naval Aeronautical Engineering Institute Yantai,Shan
国际会议
大连
英文
247-253
2008-07-27（万方平台首次上网日期，不代表论文的发表时间）