# Reversible Data Hiding in JPEG Images with Multi-objective Optimization

## TL;DR

This paper introduces a reversible data hiding scheme for JPEG images that balances image quality and file size expansion using multi-objective optimization, outperforming existing methods.

## Contribution

It presents a novel RDH algorithm for JPEG images that considers both quality and size, employing multi-objective optimization for improved performance.

## Key findings

- Better image quality preservation
- Reduced file size expansion
- Outperforms state-of-the-art RDH methods

## Abstract

Among various methods of reversible data hiding (RDH) in JPEG images, the consideration in designing is only the image quality, but the image quality and the file size expansion are equally important in JPEG images. Based on this situation, we propose a RDH scheme in JPEG images considering both the image quality and the file size expansion while designing the algorithm. The multi-objective optimization strategy is utilized to realize the balance of the two objectives. Specifically, the cover is divided into several non-overlapping signals firstly, and after that, the embedding costs of signals are calculated using the knowledge of the JPEG compression. Next, the optimized combination of signals for embedding data is gained by the multi-objective optimization. Experimental results show the better performance of our proposed RDH compared with state-of-the-art RDH in JPEG images.