Enhancing Steganography Cover Selection: A Strategic Approach using ImTex Complexity and CCE Method
Year: 2024
Type: article
Abstract: This paper presents an innovative framework for enhancing data hiding in image steganography through strategic cover selection techniques. With the increasing need for secure data exchange, steganography offers a promising solution by embedding information imperceptibly within cover images. However, the success of this method relies heavily on the appropriate selection of cover images. To address this, we introduce an efficient cover selection method using Image Texture (ImTex) complexity analysis. This approach involves setting threshold values for various image properties to emphasize the selection of optimal cover images. Our experiments demonstrate that this strategic approach significantly improves embedding capacity, data security, and imperceptibility, while maintaining high visual quality. By making the source code and datasets openly available, we aim to facilitate further research and applications in the field of image steganography.
Author: Jamatia, Rupa
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893039764
FWCI:
Cites:
Cited by:
Related to: