Redesigning data hiding: Interpolation-based scrambling-embedding method

In this paper, we explored the existing data hiding method and re-designed the method into a scrambling- embedding method to unify both scrambling and data embedding. Interpolated-based technique is revised and it is utilized to realize this unification. Experimental results indicate that the proposed method achieve scrambling while able to embed maximum up to ~668,498.8 bits for interpolating 256×256 pixels image into 512×512 pixels image. Besides, parameter W is introduced to enable scalability in output image quality degradation. Finally, the proposed method is compared to the relevant methods for performance evaluation purposes.