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
Link To Document