Paper Info
Title
Fan Search for Image Copy-Move Forgery Detection
Abstract
Image forgery detection is currently one of the interested research fields of image processing. Copy-Move (CM) forgery is one of the most commonly techniques. In this paper, we propose an efficient methodology for fast CM forgery detection. The proposed method accelerates blocking matching strategy. Firstly, the image is divided into fixed-size overlapping blocks then Discrete Cosine Transform (DCT) is applied to each block to represent its features, which are used to indirectly compare the blocks. After sorting the blocks based on DCT coefficients, a distance is measured between nearby blocks to denote their similarity. The proposed Fan Search (FS) algorithm starts once a duplicated block is detected. Instead of exhaustive search for all blocks, the nearby blocks of the detected block are examined first in a spiral order. The experimental results demonstrate that the proposed method can detect the duplicated regions efficiently, and reduce processing time up to 75% less than other previous works.
Year
DOI
Venue
2014
10.1007/978-3-319-13461-1_18
ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS, AMLTA 2014
Keywords
Field
DocType
Image tampering,Copy-move forgery,Image fakery detection,Image falsification detection,Blind image forensics
Computer vision,Spiral,Image forgery,Brute-force search,Computer graphics (images),Discrete cosine transform,Image processing,Sorting,Forgery detection,Artificial intelligence,Mathematics
Conference
Volume
ISSN
Citations 
488
1865-0929
2
PageRank 
References 
Authors
0.42
7
3
Name
Order
Citations
PageRank
Sondos M. Fadl192.21
Noura Semary2274.08
Mohiy M. Hadhoud3265.11