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Where technology & law meet: Open Access research on data security & its regulation ...

Strathprints makes available Open Access scholarly outputs exploring both the technical aspects of computer security, but also the regulation of existing or emerging technologies. A research specialism of the Department of Computer & Information Sciences (CIS) is computer security. Researchers explore issues surrounding web intrusion detection techniques, malware characteristics, textual steganography and trusted systems. Digital forensics and cyber crime are also a focus.

Meanwhile, the School of Law and its Centre for Internet Law & Policy undertake studies on Internet governance. An important component of this work is consideration of privacy and data protection questions and the increasing focus on cybercrime and 'cyberterrorism'.

Explore the Open Access research by CIS on computer security or the School of Law's work on law, technology and regulation. Or explore all of Strathclyde's Open Access research...

Fast algorithm for optimal error protection of embedded wavelet codes

Stankovic, V. and Hamzaoui, R. and Saupe, D. (2001) Fast algorithm for optimal error protection of embedded wavelet codes. In: 4th IEEE Workshop on Multimedia Signal Processing (MMSP 01), 2001-10-03 - 2001-10-05.

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Abstract

Embedded wavelet codes are very sensitive to channel noise because a single bit error can lead to an irreversible loss of synchronization between the encoder and the decoder. Sherwood and Zeger protected a zero-tree based embedded wavelet code sent through a memoryless noisy channel by using cyclic redundancy detection codes (CRC) and channel correction codes. Chande and Farvardin proposed an optimal joint source-channel allocation strategy for such systems. We show how to accelerate their algorithm without quality loss. For grey scale test images of size 512 x 512, our speedup factors ranged from 1.2 to 6 for total bit rates between 0.25 and 1.0 bits per pixel. Moreover, by using turbo codes as channel codes, we obtained competitive peak-signal-to-noise ratio (PSNR) results.