Secured Reversible matrix embedding based on dual image using Integer wavelet and Arnold Transform
Amishi Mahesh Kapadia, P. Nithyanandam · Procedia Computer Science · 2019
Steganography is the art and science of hiding information. In Steganography host image is destroyed and cannot be attained to the original state. In a sensitive area such as military and medical recovery of the original cover medium is required without any loss. A special case of data hiding that retrieves the cover media and secret information without a loss of a pixel is known as reversible data hiding. In this paper reversible data hiding technique is proposed to improve the security and enhance the capacity; a hybrid model of integer wavelet transform and Arnold transform are used. The cover image is decomposed into the integer wavelet sub-band; each sub-band is further scrambled using Arnold transform before embedding scrambled secret information. In this work dual image embedding mechanism is used such that it makes matrix embedding reversible without any bookkeeping data. The experimental result shows that the proposed method provides high embedding capacity.