A robust copy-move forgery detection technique based on discrete cosine transform and cellular automata

Detection Technique ◽

Forgery Detection ◽

Cosine Transform ◽

Copy-move forgery detection technique based on discrete cosine transform blocks features

Neural Computing and Applications ◽

10.1007/s00521-020-05433-1 ◽

2020 ◽

Author(s):

Esteban Alejandro Armas Vega ◽

Edgar González Fernández ◽

Ana Lucila Sandoval Orozco ◽

Luis Javier García Villalba

Keyword(s):

Detection Technique ◽

Forgery Detection ◽

Cosine Transform ◽

A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2018.03.015 ◽

2018 ◽

Vol 53 ◽

pp. 202-214 ◽

Cited By ~ 37

Author(s):

Toqeer Mahmood ◽

Zahid Mehmood ◽

Mohsin Shah ◽

Tanzila Saba

Keyword(s):

Digital Images ◽

Forgery Detection ◽

Cosine Transform ◽

Copy Move Forgery Detection ◽

Detection And Localization

Hybridized Technique for Copy-Move Forgery Detection Using Discrete Cosine Transform and Speeded-Up Robust Feature Techniques

International Journal of Image Graphics and Signal Processing ◽

10.5815/ijigsp.2018.04.03 ◽

2018 ◽

Vol 10 (4) ◽

pp. 22-30 ◽

Cited By ~ 1

Author(s):

Joseph A. Ojeniyi ◽

◽

Bolaji O. Adedayo ◽

Idris Ismaila ◽

Abdulhamid M. Shafi’i

Keyword(s):

Forgery Detection ◽

Cosine Transform ◽

Review of Copy-Move Forgery Detection of Images using Discrete Cosine Transform

International Journal of Computer Applications ◽

10.5120/14651-2930 ◽

2013 ◽

Vol 84 (15) ◽

pp. 12-15

Author(s):

Angom BubooSingh ◽

Swapan Deb Barma ◽

Kh. Manglem Singh

Keyword(s):

Forgery Detection ◽

Cosine Transform ◽

Copy-move forgery detection using principal component analysis and discrete cosine transform

2017 Sensors Networks Smart and Emerging Technologies (SENSET) ◽

10.1109/senset.2017.8125021 ◽

2017 ◽

Author(s):

Alaa Hilal ◽

Taghreed Hamzeh ◽

Samer Chantaf

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Forgery Detection ◽

Cosine Transform ◽

Copy move forgery detection using DCT, PatchMatch and cellular automata

Multimedia Tools and Applications ◽

10.1007/s11042-021-11174-7 ◽

2021 ◽

Author(s):

Gulnawaz Gani ◽

Fasel Qadir

Keyword(s):

Cellular Automata ◽

Forgery Detection ◽

Recent Advances on Memetic Algorithms and its Applications in Image Processing - Studies in Computational Intelligence ◽

An Efficient Copy-Move Forgery Detection Technique Using Nature-Inspired Optimization Algorithm

10.1007/978-981-15-1362-6_7 ◽

2019 ◽

pp. 153-166

Author(s):

Anmol Gupta ◽

Ishan Chawla

Keyword(s):

Optimization Algorithm ◽

Detection Technique ◽

Forgery Detection ◽

A novel method for digital image copy-move forgery detection and localization using evolving cellular automata and local binary patterns

Evolving Systems ◽

10.1007/s12530-019-09309-1 ◽

2019 ◽

Cited By ~ 1

Author(s):

Gulnawaz Gani ◽

Fasel Qadir

Keyword(s):

Cellular Automata ◽

Digital Image ◽

Local Binary Patterns ◽

Forgery Detection ◽

Novel Method ◽

Copy Move Forgery Detection ◽

Detection And Localization

An Algorithmic-Based Fault Detection Technique for the 1-D Discrete Cosine Transform

IEEE Transactions on Very Large Scale Integration (VLSI) Systems ◽

10.1109/tvlsi.2020.2969094 ◽

2020 ◽

Vol 28 (5) ◽

pp. 1336-1340

Author(s):

Luis Alberto Aranda ◽

Alfonso Sanchez-Macian ◽

Juan Antonio Maestro

Keyword(s):

Fault Detection ◽

Detection Technique ◽

Cosine Transform

S-transform-based efficient copy-move forgery detection technique in digital images

International Journal of Intelligent Enterprise ◽

10.1504/ijie.2020.10026347 ◽

2020 ◽

Vol 7 (1/3) ◽

pp. 107

Author(s):

Sudipta Roy ◽

Khumanthem Manglem Singh ◽

Rajeev Rajkumar

Keyword(s):

Digital Images ◽

Detection Technique ◽

Forgery Detection ◽

S Transform ◽