JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Quantization Watermarking in the JPEG2000 Coding Pipeline
Proceedings of the IFIP TC6/TC11 International Conference on Communications and Multimedia Security Issues of the New Century
A survey of watermarking algorithms for image authentication
EURASIP Journal on Applied Signal Processing
The Interface Development of Chinese DAISY Player Operation Procedure
IS3C '12 Proceedings of the 2012 International Symposium on Computer, Consumer and Control
Compensated Signature Embedding for Multimedia Content Authentication
Journal of Data and Information Quality (JDIQ)
Gaussian scale-space features for semi-fragile image authentication
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Content-adaptive semi-fragile image authentication based on JPEG2000 compression
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Soft feature-based watermark decoding with insertion/deletion correction
IH'07 Proceedings of the 9th international conference on Information hiding
3D facial visualization through adaptive spread spectrum synchronous scalable (A4S) data hiding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A joint layered scheme for reliable and secure mobile JPEG-2000 streaming
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We present an efficient JPEG2000-based image authentication scheme, which is robust to JPEG compression and other allowed signal processing operations. Positive wavelet-based watermarking approaches proposed in recent years are enhanced by image adaptive perceptual modeling and error correction coding. Our new method is secure in contrast to most of the schemes proposed so far. Lots of popular features of the JPEG2000 compression framework are supported, such as quality and resolution scalability, lossless image rotation and flipping. All coefficients of the wavelet decomposition are protected using our new extended scalar quantization and hashing scheme. We show that error correction coding yields impressive robustness improvements of the embedded image content dependent signature without raising a security gap. Further, we introduce a technique to remove the embedded information during the decompression process and thus to improve the image quality during, e.g., visualization. The functionality is not only proved by experimental results but also a real prototype camera implementation and web-based verification.