Paper Info
Title
Dct/Dwt Blind Multiplicative Watermarking Through Student-T Distribution
Abstract
In this work, which addresses issues related to the efficient hiding of watermark information in the transform domain, we propose to model the transform coefficients with the Student-t distribution through the multiplicative rule of embedding. Based on the observation that the statistical distribution of the transform coefficients has heavy tailed behavior, we design a new class of watermark detectors following the multiplicative rule of embedding. We present experimental results that compare the proposed method with known state-of-the-art multiplicative watermark detectors and demonstrate its effectiveness in terms of sensitivity and robustness.
Year
Venue
Keywords
2017
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
multiplicative image watermarking, Student-t, DWT, DCT
Field
DocType
ISSN
Digital watermarking,Embedding,Pattern recognition,Multiplicative function,Computer science,Discrete cosine transform,Student's t-distribution,Watermark,Robustness (computer science),Artificial intelligence,Detector
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Antonis Mairgiotis1172.80
Lisimachos P. Kondi230528.99
Yongyi Yang31409140.74