A self recoverable adaptive fragile watermarking scheme to detect and
recover attacked parts with improved tamper detection ability is
proposed in this paper. The Cover image is divided into 2x2 blocks and
an adaptive watermark is generated from the quantized version of the
2x2 block. Instead of choosing the best possible values, the proposed
watermark generation scheme divides the 2x2 quantized block into two
1x2 blocks to form the watermark. In order to aid in tamper detection,
authentication bits are generated from the mapped block of the 2x2
block. The watermark bits (authentication bits and recovery bits) are
embedded into the mapped block to form the watermarked image. The
proposed watermark embedding scheme provides a quality PSNR of the
watermarked image well above 35 dB. The watermarked image was
tampered using different attacks like object deletion, object addition,
change of content attack and addition of noises. The tampered blocks
were detected using the proposed multi-level tamper detection scheme.
The attacked parts of the watermarked image were reconstructed using
the proposed tamper recovery scheme. The proposed tamper recovery
scheme provides a quality PSNR well above 30 dB for various types of
attacks. The performance of the proposed fragile watermarking scheme
was also evaluated in terms of PSNR (peak signal to noise ratio), SSIM
(Structural Similarity Index Measure), Probability of False Rejection
(PFR) and Probability of False Acceptance (PFA) of the reconstructed
image for various tampering ratios. The PFR and PFA Values of the
proposed scheme are close to zero indicating that the tampered pixels
are detected correctly.
Nandhini. S1, Durgesh Singh2
College of Engineering, Guindy, Anna University, Chennai, India1, PDPM Indian Institute of Information Technology Design and Manufacturing, India2
Authentication, Self Recoverable, Tamper Detection, Tamper Recovery, Fragile Watermarking
| January | February | March | April | May | June | July | August | September | October | November | December |
| 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 15 , Issue: 4 , Pages: 3596 - 3605 )
Date of Publication :
May 2025
Page Views :
68
Full Text Views :
10
|