Selective encryption of JPEG 2000 images by means of randomized arithmetic coding

We describe a novel multimedia security framework based on a modification of the arithmetic coder, which is used by most international image and video coding standards as entropy coding stage. In particular, we propose a randomized arithmetic coding paradigm, which achieves encryption by randomly sw...

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Vydáno v:Multimedia signal processing : 2004 IEEE 6th Workshop on Multimedia Signal Processing : September 29-October 1, 2004, Siena, Italy s. 347 - 350
Hlavní autoři: Grangetto, M., Grosso, A., Magli, E.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Piscataway NJ IEEE 2004
Témata:
Applied sciences
Arithmetic
Artificial intelligence
Code standards
Computer science; control theory; systems
Cryptography
Decoding
Displays
Entropy coding
Exact sciences and technology
Image coding
Memory and file management (including protection and security)
Memory organisation. Data processing
Pattern recognition. Digital image processing. Computational geometry
Protection
Robustness
Security
Software
Video coding
Multimedia
Interest region
Image coding
Randomization
Arithmetics
Image processing
Redundancy
Arithmetic code
Image compression
Encryption
Cryptography
ISBN:0780385780, 9780780385788
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Popis
Shrnutí:We describe a novel multimedia security framework based on a modification of the arithmetic coder, which is used by most international image and video coding standards as entropy coding stage. In particular, we propose a randomized arithmetic coding paradigm, which achieves encryption by randomly swapping the intervals of the least and most probable symbols in arithmetic coding; moreover, we describe an implementation tailored to the JPEG 2000 standard. The proposed approach turns out to be robust towards attempts to discover the key, and allows very flexible procedures for insertion of redundancy at the codeblock level, allowing to perform total and selective encryption, conditional access, and encryption of regions of interest.
ISBN:0780385780
9780780385788
DOI:10.1109/MMSP.2004.1436564