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Simple and efficient remote sensing image transformation for lossless compression

Sepehrband, F ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1117/12.913262
  3. Publisher: 2011
  4. Abstract:
  5. 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
  6. Keywords:
  7. Entropy ; Image Transformation ; Remote Sensing (RS) ; Efficient method ; Energy compaction ; Entropy value ; Image transformations ; IS costs ; JPEG 2000 ; JPEG Standards ; JPEG-LS ; Lossless ; Lossless Compression ; Mass storage ; Mathematical proof ; Real time ; Real-time application ; Real-time compression ; Remote sensing images ; RS image ; Satellite images ; Satellite transmission ; SIMPLE algorithm ; Transmission systems ; Whole process ; Entropy ; Image compression ; Image reconstruction ; Imaging systems ; Mathematical transformations ; Real time systems ; Remote sensing ; Satellites ; Compaction
  8. Source: Proceedings of SPIE - The International Society for Optical Engineering ; Volume 8285 , 2011 ; 0277786X (ISSN) ; 9780819489326 (ISBN)
  9. URL: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1197915