Title :
KLT coder for compression of security images
Author_Institution :
Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague
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;
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
DOI :
10.1109/CCST.2008.4751332