Accurate and reliable reversible data hiding using sequential encoding techniques. (29th November 2018)

• Record Type: Journal Article
• Authors: Shibu, N.V.; Malathi, P.
• Other Names: Karthikeyan M. guestEditor.; Chilamkurti Naveen guestEditor.; Li Xiong guestEditor.
• Is Part Of: Concurrency and computation. Volume 31:Number 14(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-11-29
• Subjects: data hiding -- data normalization -- decision conversion -- security -- sequential encoding; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.4979
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Reversible data hiding facilitates images to be authenticated and by eliminating the digital watermark. Histogram Shifting Based Reversible Data Hiding (HSRDH) is presented in the previous research, which aims to decrease the performance with low quality when recreating the images. However, embedding patches could be hacked where it does not concentrate on the security threats. This issue is resolved using Sequential Encoding Based Reversible Data Hiding (SEB‐RDH) method. Here, initially input image is transformed into Haar wavelet using discrete wavelet transform. This wavelet is decomposed by utilizing 1D wavelet transformation; Haar wavelet is processed, and after that, by means of utilizing 2D wavelet transformation, the result of 1D wavelet transformation is decomposed once more. Horizontal coefficients are separated and embedded with the normalized input image. This type of data hiding enlarged the compression size and acts as a guard from the hackers who could not hack the protected data contents. This technique guarantees the enlarged reconstruction image accurateness in the receiver side. It is implemented in Matlab simulation environment, and it is confirmed that the SEB‐RDH displays 15.8% improved PSNR rate after that the previous technique HSRDH and 26.5% improved MSE rate compared with the previous HSRDH technique.