Title
Self-Recognized Image Protection Technique that Resists Large-Scale Cropping
Abstract
Brought up by the crucial issue of copyright, digital watermarking plays a key role in protecting integrity and providing authorization for multimedia. Efficient watermarking techniques require visual imperceptibility and robustness against various attacks. In this new approach, the authors propose a feature-based watermarking algorithm to embed a binary image as a watermark in the DCT domain to guarantee visual efficiency. In particular, the technique embeds marker bits to locate the original block of a cropped image and thereby resist synchronous damage to images. As simulation results show, compared to related methods, the proposed approach better resists several major image attacks, including cropping, shifting, blurring, noise, sharpening, and JPEG lossy compression. Moreover, this watermarking method can achieve blind extraction, in which the original image isn't required for watermark extraction and the embedded image can be restored with high visual efficiency.
Year
DOI
Venue
2014
10.1109/MMUL.2014.14
IEEE Multimedia
Keywords
Field
DocType
visual efficiency,crop resistant,discrete cosine transform,multimedia,multimedia applications,visual imperceptibility,data compression,cropped image,image watermarking,image denoising,authorization,large-scale cropping resistance,blind extraction,discrete cosine transforms,feature extraction,watermark extraction,feature-based watermarking algorithm,cropping attack,shifting attack,sharpening attack,noise attack,digital watermarking techniques,integrity protection,self-recognized image protection technique,jpeg lossy compression attack,blurring attack,dct domain,digital watermarking,binary image
Watermarking attack,Computer vision,Digital watermarking,Lossy compression,Computer science,Binary image,Feature extraction,Watermark,JPEG,Artificial intelligence,Data compression,Multimedia
Journal
Volume
Issue
ISSN
21
1
1070-986X
Citations 
PageRank 
References 
6
0.59
15
Authors
2
Name
Order
Citations
PageRank
Jung-San Lee135330.52
Bo Li2971111.71