KEYLESS APPROACH OF SEPARABLE HIDING DATA INTOENCRYPTED IMAGE
Keywords:
Data embedding, Sieving, Division, Shuffling, Random sharesAbstract
The heavy computation cost and the poor quality of the recovered image from the random shares restrict the applications, by the use of encryption keys. Key management is difficult dispute in network. This paper presents a unique method of data hiding separately in an encrypted image. This work presents a new method that combines image cryptography, data hiding and LSB compressing technique for data hiding separately. Then, a data-hider compresses the least significant bits of the encrypted image to create a sparse space to accommodate some additional data. This paper proposes without the use of keys, encrypting and decryption of image and data is done. In this method we encrypt the original image with SDS algorithm. The approach employs Sieving, Division and Shuffling to generate random shares. Then cover the encrypted image by a grayscale image such that with a minimal computation the original secret image can be recovered from the random shares without any loss of image quality.
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