Hybrid Image Steganography using Least Significant Bit and Dynamic Programming

Data hiding process in which the Stego data is embedded on the host data according to some rules and at the receiving end the stego data is recovered with or without some distortion. Robustness, fidelity and payload capacity measure the parameters to guage the performance of steganographic system. There is invariably a trade-off between payload capability and output image quality. This paper projected a hybrid technique to extend payload capability whereas maintaining image quality additionally as increase fidelity of steganographic system. Relationship between neighboring pixels is calculated according to pixel potential that is named as energy. Dynamic programming is employed to calculate cost supported energy. This cost and energy is employed to pick out pixels randomly using dynamic programming. The input data is then embedded on designated component supported human sensory system parameters thence increase payload capability whereas maintaining image quality. Projected technique is simulated and mean sq. error and peak signal to noise magnitude relation is calculated.