Multiple information fusion and watermarking based on DWT and Yang-Gu mixture amplitude-phase retrieval algorithm in Fresnel transform domain

This paper proposes a new multiple-information fusion and watermarking, which utilizes DWT, Yang-Gu mixture amplitude-phase retrieval algorithm (YGAPRA) and Fresnel transform. In this method, $LL$ sub-bands of four images are merged to construct an input color image. The $R,\ G,\ B$ channels of an input image are encrypted by using YGAPRA in Fresnel transform domain in which coupled logistic maps provide remarkably sensitive decryption keys. The gray-scale cover image is decomposed by using DWT. Now $HL, LH$, and $HH$ sub-bands of cover image are substituted for encrypted $R,\ G,\ B$ channels and performed inverse DWT to produce a watermarked image. Simulations and security analyses validate the efficiency and practicability of the scheme.