An LSB Data Hiding Technique Using Natural Numbers

TL;DR

This paper introduces a new natural number decomposition-based LSB data hiding method that enhances image quality and security over Fibonacci and prime decomposition techniques, enabling higher embedding capacity with minimal distortion.

Contribution

The paper presents a novel natural number decomposition approach for LSB data hiding, improving stego-image quality and embedding capacity compared to existing Fibonacci and prime methods.

Findings

Improved stego-image quality over Fibonacci and prime techniques.

Higher number of bit-planes for embedding secret data.

Stego-images are visually indistinguishable from original images.

Abstract

In this paper, a novel data hiding technique is proposed, as an improvement over the Fibonacci LSB data-hiding technique proposed by Battisti et al,based on decomposition of a number (pixel-value) in sum of natural numbers. This particular representation again generates a different set of (virtual) bit-planes altogether, suitable for embedding purposes. We get more bit-planes than that we get using Prime technique.These bit-planes not only allow one to embed secret message in higher bit-planes but also do it without much distortion, with a much better stego-image quality, and in a reliable and secured manner, guaranteeing efficient retrieval of secret message. A comparative performance study between the classical Least Significant Bit(LSB) method, the Fibonacci LSB data-hiding technique and the proposed schemes indicate that image quality of the stego-image hidden by the technique using the natural decomposition method improves drastically against that using Prime and Fibonacci decomposition technique. Experimental results also illustrate that, the stego-image is visually indistinguishable from the original cover-image. Also we show the optimality of our technique.