On Improved Spread Spectrum Watermark Detection Under Compressive Sampling

Anirban Bose Santi Prasad Maity 1 Claude Delpha 1
1 L2S - Laboratoire des signaux et systèmes
Abstract : This paper studies performance of correlation based energy detection (ED) and generalized likelihood ratio test (GLRT) to resolve binary hypothesis on spread spectrum (SS) watermark in digital images under compressive sampling (CS) paradigm. Watermark information in the form of independent and identically distributed (i.i.d) Gaussian pattern is embedded during image acquisition at low measurement space i.e. CS platform. Diversity technique used in communication receiver is then applied to improve watermark detector performance. Simulation results highlight that at low (watermark) signal-to-noise ratio (WNR/SNR), GLRT based detector offers high probability of detection (PD) while ED performs almost at par with GLRT at high SNR i.e. at high measurement space for a given watermark power. Simulation results also show the improved detector performance compared to the conventional correlator-detector and existing CS based watermarking methods.
Document type :
Conference papers
Complete list of metadatas
https://hal-supelec.archives-ouvertes.fr/hal-01100655
Contributor : Claude Delpha <>
Submitted on : Tuesday, January 6, 2015 - 5:41:25 PM
Last modification on : Thursday, April 5, 2018 - 12:30:05 PM

Identifiers

Collections

SUPELEC | SUP_LSS | SUP_TELECOMS | CNRS | L2S

Citation

Anirban Bose, Santi Prasad Maity, Claude Delpha. On Improved Spread Spectrum Watermark Detection Under Compressive Sampling. 5th European Workshop on Visual Information Processing (EUVIP 2014), Dec 2014, Paris, France. ⟨10.1109/euvip.2014.7018402⟩. ⟨hal-01100655⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

212

Contact

CCSD