Work

Using Bias Optimization for Reversible Data Hiding Using Image Interpolation

Year: 2013

Type: preprint

Abstract: In this paper, we propose a reversible data hiding method in the spatial domain for compressed grayscale images. The proposed method embeds secret bits into a compressed thumbnail of the original image by using a novel interpolation method and the Neighbour Mean Interpolation (NMI) technique as scaling up to the original image occurs. Experimental results presented in this paper show that the proposed method has significantly improved embedding capacities over the approach proposed by Jung and Yoo.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1305.4102

Authors: Rudder, Andrew, Goodridge, Wayne, Mohammed, Shareeda

Institution: University of the West Indies

Language: English

Topic: Advanced Steganography and Watermarking Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2017644042

Cites: 17

Cited by: 3

Related to: 20