DocumentCode :
1849831
Title :
A survey on Image Forgery Detection techniques
Author :
Huynh, Tu K. ; Huynh, Khoa V. ; Thuong Le-Tien ; Nguyen, Sy C.
Author_Institution :
Sch. of Comput. Sci. & Eng., Int. Univ.-VNUHCM, Ho Chi Minh City, Vietnam
fYear :
2015
fDate :
25-28 Jan. 2015
Firstpage :
71
Lastpage :
76
Abstract :
The paper presents a survey on Image Forgery Detection (IFD) techniques applied for both Copy-Move and spliced images. The survey attempts to cover involved algorithms over past ten years, classify them in groups having the similar methods to solve problems. For the Copy-Move images, the classification depends on differences in processing input images with or without transformation before extracting the image features. For the spliced images, groups of detection techniques based on image features or camera features are summarized. Achievements, limitations and future works from these techniques are also mentioned in this title as orientations and references for the coming researches as well.
Keywords :
cameras; feature extraction; image classification; image coding; image forensics; object detection; IFD technique; camera features; classification; copy-move image; detection techniques; image feature extraction; image forgery detection techniques; input image processing; spliced image; Discrete wavelet transforms; Feature extraction; Forgery; Graphics; Image coding; Vectors; Copy-Move; Forgery detection (FD); blocks matching; blur consistency; camera based; feature vectors; lexicographical sorting; splicing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on
Conference_Location :
Can Tho
Print_ISBN :
978-1-4799-8043-7
Type :
conf
DOI :
10.1109/RIVF.2015.7049877
Filename :
7049877
Link To Document :
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