@inproceedings{42f6097b19f644e7b1f0fbfc8474aa56,
title = "An advanced texture analysis method for image sharpening detection",
abstract = "Sharpening is a kind of basic yet widely utilized digital image processing techniques designed and utilized to pursue better image quality from human visual point of view. In image forensics it is required to detect this kind of operation. Huge progress has been made in this area in recent years. Overshoot artifact, as a unique phenomenon occurring on image edges after sharpening, is important in sharpening detection. In this paper, an advanced scheme for overshoot artifact determination is proposed to boost the detection performance in the case of mildor overshoot artifact-controlled sharpening, Several groups of experiments have been conducted to corroborate the new scheme possesses the best ability for blind sharpening detection regardless of the strength of overshoot artifact.",
keywords = "Edge perpendicular binary code, Image forensics, Overshoot artifact, Sharpening detection",
author = "Feng Ding and Weiqiang Dong and Guopu Zhu and Shi, {Yun Qing}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 14th International Workshop on Digital-Forensics and Watermarking, IWDW 2015 ; Conference date: 07-10-2015 Through 10-10-2015",
year = "2016",
doi = "10.1007/978-3-319-31960-5_7",
language = "English (US)",
isbn = "9783319319599",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "72--82",
editor = "Isao Echizen and Kim, {Hyoung Joong} and Yun-Qing Shi and Fernando P{\'e}rez-Gonz{\'a}lez",
booktitle = "Digital-Forensics and Watermarking - 14th International Workshop, IWDW 2015, Revised Selected Papers",
address = "Germany",
}