• DocumentCode
    2369472
  • Title

    KLT coder for compression of security images

  • Author

    Páta, Petr

  • Author_Institution
    Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague
  • fYear
    2008
  • fDate
    13-16 Oct. 2008
  • Firstpage
    381
  • Lastpage
    386
  • Abstract
    A higher and better precision can been achieved while using more recent security systems and superior detection sensors. It has brought a very rapid increase of data amount as a result. The high resolution (up to ten million pixels) and grey scale images (quantization depth up to 16 bits) accepted in these security applications. A very large volume of image data has been taken during operation of a modern project of automatic monitoring systems. The loss-less compression algorithm has been often required for many applications. Certainly it has not offered achievement of the high compress ratio (up to 2:1 - 5:1 for a special type of images only). The well-known and for the multimedia data optimized lossy methods (JPEG, JPEG 2000) have not been suitable. The hopeful results have been achieved with the tests of wavelets or fractal transforms.
  • Keywords
    image classification; image coding; image resolution; object detection; security of data; source coding; statistical analysis; transform coding; KLT coder; Karhunen-Loeve transform; automatic monitoring system; grey scale image; high resolution image; image classification; image detection; image identification; loss-less compression algorithm; multimedia data optimization; security image compression; source coding; statistical property; Compression algorithms; Computerized monitoring; Data security; Image coding; Image resolution; Karhunen-Loeve transforms; Pixel; Quantization; Sensor systems; Transform coding; Karhunen-Loève coder; compression of security images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2008. ICCST 2008. 42nd Annual IEEE International Carnahan Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4244-1816-9
  • Electronic_ISBN
    978-1-4244-1817-6
  • Type

    conf

  • DOI
    10.1109/CCST.2008.4751332
  • Filename
    4751332