Reversible integer wavelet transform for blind image hiding method.

Nazeer Muhammad,Syed Rameez Naqvi,Zahid Mahmood,Nargis Bibi,Tallha Akram,Yudong Zhang

doi:10.1371/journal.pone.0176979

Nazeer Muhammad, Syed Rameez Naqvi + Show 4 more

Open Access

https://doi.org/10.1371/journal.pone.0176979

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Abstract

In this article, a blind data hiding reversible methodology to embed the secret data for hiding purpose into cover image is proposed. The key advantage of this research work is to resolve the privacy and secrecy issues raised during the data transmission over the internet. Firstly, data is decomposed into sub-bands using the integer wavelets. For decomposition, the Fresnelet transform is utilized which encrypts the secret data by choosing a unique key parameter to construct a dummy pattern. The dummy pattern is then embedded into an approximated sub-band of the cover image. Our proposed method reveals high-capacity and great imperceptibility of the secret embedded data. With the utilization of family of integer wavelets, the proposed novel approach becomes more efficient for hiding and retrieving process. It retrieved the secret hidden data from the embedded data blindly, without the requirement of original cover image.

Highlights

Blind data hiding is a vibrant issue of Internet communications which is frequently used for sending, receiving, or storing the secret information [1]
This paper focuses on the reversible blind data hiding method to increase the privacy and security by assimilating both cryptography and steganography with efficient hiding and detecting processes for the large secret data
Instead of the simple ~f t [12], it is worth revealing in Fig 1, that the forward Fresnelet transform can be used to process the meaningful information into dummy data with four different sub-bands

Summary

Introduction

Blind data hiding is a vibrant issue of Internet communications which is frequently used for sending, receiving, or storing the secret information [1]. Using the Fresnelet transform, secret data detected from an embedded image can be acquired with high resolution [11]. Fresnelet transform basis are yielding robust parameters to attain a multi-scale spreading of secret hiding data to establish the key features of the proposed method for privacy and security. Instead of the simple ~f t (typically derived for digital off-axis hologram reconstruction) [12], it is worth revealing, that the forward Fresnelet transform can be used to process the meaningful information into dummy (encrypted) data with four different sub-bands.

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Proposed Method

Conclusion