Comparison of Forbidden Zone Data Hiding and Quantization Index Modulation

Date

2012-01-01

Author

Esen, Ersin
Alatan, Abdullah Aydın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

145
views

0
downloads

Developing practical data hiding schemes that approach theoretical steganographic capacity limits is still a challenging research area. In this aspect, this problem is approached from a different perspective by proposing a novel method that relies on the newly introduced forbidden zone concept, which is defined as the host signal range, where no alterations are allowed. The proposed method, Forbidden Zone Data Hiding (FZDH), combines the forbidden zone with binning schemes and it is formulated both in general and simple parametric forms. This novel scheme is compared against the canonical binning-based data hiding schemes, such as QIM and DC-QIM, empirically, as well as in a theoretical framework. The results indicate that FZDH outperforms QIM, whereas performing competitive with DC-QIM.

Subject Keywords

Data hiding, Digital watermarking, Quantization Index Modulation, Distortion Compensated Quantization Index, Modulation, Scalar Costa Scheme, Forbidden zone

URI

https://hdl.handle.net/11511/48891

Journal

DIGITAL SIGNAL PROCESSING

DOI

https://doi.org/10.1016/j.dsp.2011.10.005

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

National level landslide susceptibility assessment of Turkey utilizing public domain dataset Okalp, Kivanc; Akgün, Haluk (2016-05-01) Landslide studies have been integrated into geographic information systems with the help of technological developments using several methods like inventory, heuristic, statistic and deterministic methods in the recent years. However, since a nationwide landslide susceptibility zoning map has not been produced for the entire territory of Turkey, this study aims to produce a landslide susceptibility map of Turkey at a national scale by utilizing publicly available datasets. In order to develop a landslide sus...
Comparison of predictive models for forecasting timeseries data Özen, Serkan; Atalay, Mehmet Volkan; Yazıcı, Adnan (2019-11-20) © 2019 Association for Computing Machinery.Dramatic increase in data size enabled researchers to study analysis and prediction of big data. Big data can be formed in many ways and one alternative is through the use of sensors. An important aspect of data coming from sensors is that they are time-series data. Although forecasting based on time-series data has been studied widely, it is still possible to advance the state-ofthe- art by constructing new hybrid deep learning models. In this study, Random Forest...
Systems engineering process modeling and simulation Arıkan, Merve; Özdemirel, Nur Evin; Department of Industrial Engineering (2012) In this study, an approach is proposed to model and simulate the systems engineering process of design projects. One of the main aims is to model the systems engineering process, treating the process itself as a complex system. A conceptual model is developed as a result of a two-phase survey conducted with systems engineers. The conceptual model includes two levels of activity networks. Each first level systems engineering activity has its own network of second level activities. The model is then implement...
Efficient adaptive regression spline algorithms based on mapping approach with a case study on finance Koc, Elcin Kartal; İyigün, Cem; Batmaz, İnci; Weber, Gerhard-Wilhelm (2014-09-01) Multivariate adaptive regression splines (MARS) has become a popular data mining (DM) tool due to its flexible model building strategy for high dimensional data. Compared to well-known others, it performs better in many areas such as finance, informatics, technology and science. Many studies have been conducted on improving its performance. For this purpose, an alternative backward stepwise algorithm is proposed through Conic-MARS (CMARS) method which uses a penalized residual sum of squares for MARS as a T...
Optimum design and operation of 'a pump-piping-storage system' Kaplan, H; Seireg, A; Dölen, Melik (Inderscience Publishers, 2001-01-01) The study reported in this paper is undertaken to develop a computer simulation and an optimum design and operation strategy for a general storage system. The influence of various design parameters on the total operation cost of the system for a general delivery regime is also studied.

Citation Formats

E. Esen and A. A. Alatan, “Comparison of Forbidden Zone Data Hiding and Quantization Index Modulation,” DIGITAL SIGNAL PROCESSING, pp. 181–189, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48891.