Paper
26 October 2005 Feature-preserving image/video compression
Author Affiliations +
Proceedings Volume 5986, Unmanned/Unattended Sensors and Sensor Networks II; 59860A (2005) https://doi.org/10.1117/12.630682
Event: European Symposium on Optics and Photonics for Defence and Security, 2005, Bruges, Belgium
Abstract
Advances in digital image processing, the advents of multimedia computing, and the availability of affordable high quality digital cameras have led to increased demand for digital images/videos. There has been a fast growth in the number of information systems that benefit from digital imaging techniques and present many tough challenges. In this paper e are concerned with applications for which image quality is a critical requirement. The fields of medicine, remote sensing, real time surveillance, and image-based automatic fingerprint/face identification systems are all but few examples of such applications. Medical care is increasingly dependent on imaging for diagnostics, surgery, and education. It is estimated that medium size hospitals in the US generate terabytes of MRI images and X-Ray images are generated to be stored in very large databases which are frequently accessed and searched for research and training. On the other hand, the rise of international terrorism and the growth of identity theft have added urgency to the development of new efficient biometric-based person verification/authentication systems. In future, such systems can provide an additional layer of security for online transactions or for real-time surveillance.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naseer Al-Jawad and Sabah Jassim "Feature-preserving image/video compression", Proc. SPIE 5986, Unmanned/Unattended Sensors and Sensor Networks II, 59860A (26 October 2005); https://doi.org/10.1117/12.630682
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Cited by 1 scholarly publication.
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KEYWORDS
Image compression

Image quality

Wavelets

Quantization

Video compression

Video

JPEG2000

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