Paper Info
Title
Effective self-embedding watermarking scheme for image tampered detection and localization with recovery capability.
Abstract
DCT based effective self-recoverable fragile watermarking scheme is presented.This scheme has extreme localization and restoration capability.The blocking artifacts negligible because of using the small blocks of size 2×2.Two levels hierarchical tampered detection mechanisms are used for tampered block detection. This paper presents a Discrete Cosine Transformation (DCT) based effective self-recoverable fragile watermarking scheme. For each 2 × 2 non-overlapping block, two authentication bits, and ten recovery bits are generated from the five most significant bits (MSBs) of pixels. Authentication bits are embedded in the three least significant bits (LSBs) of the block itself while recovery bits are embedded in the three LSBs of the corresponding mapped block. The proposed watermarking scheme is also effective because the authentication of each block is based on two levels hierarchical tampered detection mechanisms. So the detection of tampered block can be ensured with high probability. The experimental results demonstrate that the proposed scheme not only outperforms high-quality restoration effectively, but also removes the blocking artifacts and improves the accuracy of tamper localization due to the use of very small size blocks, smoothing function and two levels tampering detection mechanisms.
Year
DOI
Venue
2016
10.1016/j.jvcir.2016.04.023
J. Visual Communication and Image Representation
Keywords
Field
DocType
Fragile watermarking,Image authentication,Tamper localization,Image recovery,Discrete Cosine Transformation
Computer vision,Digital watermarking,Authentication,Pattern recognition,Discrete cosine transform,Smoothing,Self-embedding,Artificial intelligence,Pixel,Image recovery,Discrete cosine transformation,Mathematics
Journal
Volume
Issue
ISSN
38
C
1047-3203
Citations 
PageRank 
References 
4
0.39
0
Authors
2
Name
Order
Citations
PageRank
Durg Singh Chauhan113221.73
Sanjay Kumar Singh217826.21