Article
Data Concealment in Image Complex Regions Using Ant Colony Optimisation
To enhance security and imperceptibility of concealed data, the study proposes data concealment approach within picture complex-areas using Ant Colony Optimisation (ACO). The algorithm optimizes the embedding of data and minimises the visual distortion involving focusing more on complex part of an image where the textures and edges would cover the changes more efficiently. Based on the foraging nature of ants, ACO has been applied to combine robustness and unperceptiveness when selecting the most optimal pixel locations to embed data. Experimental results point out that the ACO-based method achieves the best in peak signal to noise ratio (PSNR) and structural similarity (SSIM) in effectively hiding data with utmost minimal impact on image quality when compared to conventional methods. It can be deployed in digital watermarking and secret communication due to its impressive optimisation that ensures secure and efficient hiding of data.
Full Text Attachment
