Robust Steganography Technique for Embedding Secret Images

Abstract

Steganography is a technique used to disguise the existence of a secret communication. It is used in many fields to solve information security problems. Steganography is a technique to embed secret data in a carrier image and obtain a new image that can't actually be distinguished from the original image. This paper proposes steganography method based on least significant bit (LSB) replacement and integer wavelet transform IWT through lifting scheme to achieve high quality of stego image. we will do some pre-processing on the secret image before embedding process. IWT transforms the secret image from spatial domain to a frequency domain and will be divided it into a group of sub-bands, some of which we will use for their utmost importance and ignore some of them. We have embedded the secret image in a sequential LSB method and in a randomly LSB method and also by the method LSB matching. But after applying our proposed method to the secret image and then embedded it in each of the three above-mentioned methods, it was found that it had a higher degree of imperceptibly and obtained a higher rate of PSNR and the possibility of recovering the secret image without errors. By using the randomly and LSBM methods gives a higher security and resistance to extraction by attackers.