Simple and Efficient Remote Sensing Image Transformation for Lossless Compression
Remote Sensing (RS) images or satellite images include information about earth. Compression of RS images is important in the field of satellite transmission systems and mass storage purposes. Because of importance of information and existent of large amount of details, lossless compression preferred. Real time compression technique is applied on satellite and aerial transmission systems (1). A simple algorithm accelerates the whole process in real time purposes. Lossless JPEG, JPEG-LS and JPEG2000 are some famous lossless compression methods. Transformation is the first step of these methods. In this paper, a simple and efficient method of lossless image transformation has been introduced by improving prediction ability which leads to more energy compaction. After mathematical proof for efficiency of new method, it compared with previous transformations of JPEG and JPEG2000 respectively by comparing their entropy value. Finally, we conclude that, our new method is cost effective for real time applications.
Remote Sensing (RS) Lossless Compression JPEG Standards Image Transformation Entropy
Farshid Sepehrband Pedram Ghamisi Mohammad Mortazavi Jeiran Choupan
School of Science and Engineering, Sharif University of Technology, International Campus, Kish Islan School of Science and Engineering, K. N. Toosi University of Technology, Tehran, Iran
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
66-70
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）