Detection of copy move forgery based on color SURF


Tahaoğlu G., Ulutaş G.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.34, ss.1540-1548, 2019 (SCI-Expanded) identifier identifier

Özet

Today the accuracy and reliability of digital images used in many important areas have great importance. One of the most common ways of forgery type that passive methods of digital image authentication techniques deals is copy move forgery. The ease of doing copy move forgery makes it to be seen widely. In this study especially for the color images the more effective copy move forgery detection technique is proposed. The efficiency of this method is reported by making comparison with the SURF-based method that exists in the literature. In addition to this, the proposed method can detect forged images even under rotation, Gauss blurring and noise addition attacks.