@inproceedings{20e2d09c1e0b444fbaabc0caa45ee3a9,
title = "LBP-SVD Based Copy Move Forgery Detection Algorithm",
abstract = "With the extensive use of sophisticated image editing software, it has become easy to manipulate digital images without any visually visible clue. Copy-move is a special type of image forgery performed by copying a part of the image and pasting anywhere else in the same image. We proposed a passive image authentication technique to determine the copy-move forgery. First, the method divides the image into overlapping blocks. It use LBP (Local Binary Pattern) to label each block. Then, the biggest N of SVD values are extracted on the labeled blocks. N SVD values plus average Y, Cb, Cr values constitutes the feature vector for the block. Finally, the feature vectors are lexicographically sorted and element-by-element similarity measurement is used to determine the forged blocks. Experiment results demonstrate commendable performance in image copy-move forgery detection.",
keywords = "Copy move forgery, Image forgery, LBP, SVD",
author = "Yuan Wang and Lihua Tian and Chen Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 19th IEEE International Symposium on Multimedia, ISM 2017 ; Conference date: 11-12-2017 Through 13-12-2017",
year = "2017",
month = dec,
day = "28",
doi = "10.1109/ISM.2017.108",
language = "英语",
series = "Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "553--556",
booktitle = "Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017",
}