QR Code Steganography for Multiple Image and Text Hiding using Improved RSA-3DWT Algorithm

نویسندگان

  • Shweta Sharma
  • Vikas Sejwar
چکیده

In this research, we presented another implanting calculation for QR Code Image Steganography and Text Hiding, which is based on 3-discrete wavelet transform (DWT) and improved RSA algorithm. Firstly, enter the text message and choose four random numbers for RSA encryption. After that, take four pictures: one is cover image and another is secret image. In the process of embedding, we divide RGB image into three planes: Red, Green and Blue. In this work, embed multiple color secret images into a single cover image for providing security. At last, encrypted text message is concealed into an embedded picture using Least significant bit (LSB). We evaluate performance on the basis of the peak signal noise ratio (PSNR) and structural similarity matrix (SSIM) with different varying weights. In this proposed, compared this algorithm to 1-DWT. In the extraction process, recover three secret image from stego image and decrypt text message.In this experiment, improved PSNR value as compared to previous paper. The experimental outcomes will be reached upto 84%. In our method, DWT is applied to decompose the cover image and produce the low and high frequency coefficients to take benefits of robustness and security goods.

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تاریخ انتشار 2016