Investigation of image forgery based on multiscale retinex under illumination variations

Forensic Imaging ◽

10.1016/j.fri.2020.200385 ◽

2020 ◽

Vol 22 ◽

pp. 200385

Author(s):

Diaa M. Uliyan ◽

Mohammad T. Alshammari

Keyword(s):

Illumination Variations ◽

Image Forgery

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Investigation of image forgery based on multiscale retinex under illumination variations

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200172 ◽

2020 ◽

pp. 1-12

Author(s):

Diaa M. Uliyan ◽

Mohammad T. Alshammari

Keyword(s):

Illumination Variations ◽

Image Forgery

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Rotation Invariant ZLBP Features for Copy-Move-Rotation Based Image Forgery Detection System

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i3.242247 ◽

2019 ◽

Vol 7 (3) ◽

pp. 242-247

Author(s):

Gurpreet Kaur ◽

Rajan Manro

Keyword(s):

Detection System ◽

Forgery Detection ◽

Rotation Invariant ◽

Image Forgery ◽

Image Forgery Detection

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Image Forgery Detection Based on Trigonometric Transforms

Menoufia Journal of Electronic Engineering Research ◽

10.21608/mjeer.2019.62776 ◽

2019 ◽

Vol 28 (2) ◽

pp. 203-216

Author(s):

Faten Al-Azrak ◽

Moawad Dessouky ◽

Fathi Abd El-Samie ◽

Ahmed Elkorany ◽

Zeinab Elsharkawy

Keyword(s):

Forgery Detection ◽

Image Forgery ◽

Image Forgery Detection ◽

Trigonometric Transforms

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The effect of illumination variations on color-based wood defect classification

Proceedings of 13th International Conference on Pattern Recognition ◽

10.1109/icpr.1996.547284 ◽

1996 ◽

Cited By ~ 11

Author(s):

H. Kauppinen ◽

O. Silven

Keyword(s):

Defect Classification ◽

Illumination Variations

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Copy-Move Image Forgery Detection Using Deep Learning Methods: A Review

2019 6th International Conference on Research and Innovation in Information Systems (ICRIIS) ◽

10.1109/icriis48246.2019.9073569 ◽

2019 ◽

Cited By ~ 1

Author(s):

Arfa Binti Zainal Abidin ◽

Hairudin Bin Abdul Majid ◽

Azurah Binti A Samah ◽

Haslina Binti Hashim

Keyword(s):

Deep Learning ◽

Forgery Detection ◽

Learning Methods ◽

Image Forgery ◽

Image Forgery Detection

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Methods of Detecting Image forgery using convolutional neural network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1831/1/012026 ◽

2021 ◽

Vol 1831 (1) ◽

pp. 012026

Author(s):

Alka Leekha ◽

Arpan Gupta ◽

Amit Kumar ◽

Tarun Chaudhary

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Forgery

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Image forgery detection using Gabor filters and DCT

2014 International Conference on Electrical Engineering and Information & Communication Technology ◽

10.1109/iceeict.2014.6919161 ◽

2014 ◽

Cited By ~ 5

Author(s):

Ghulam Muhammad ◽

M. Solaiman Dewan ◽

M. Moniruzzaman ◽

Muhammad Hussain ◽

M. Nurul Huda

Keyword(s):

Gabor Filters ◽

Forgery Detection ◽

Image Forgery ◽

Image Forgery Detection

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A sparse representation-based approach for copy-move image forgery detection in smooth regions

10.1117/12.2268766 ◽

2017 ◽

Cited By ~ 1

Author(s):

Jalila Abdessamad ◽

Asma ElAdel ◽

Mourad Zaied

Keyword(s):

Sparse Representation ◽

Forgery Detection ◽

Image Forgery ◽

Image Forgery Detection

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Copy move image forgery detection using Hessian and center symmetric local binary pattern

2015 IEEE Conference on Open Systems (ICOS) ◽

10.1109/icos.2015.7377269 ◽

2015 ◽

Cited By ~ 11

Author(s):

Diaa M. Uliyan ◽

Hamid A. Jalab ◽

Ainuddin W. Abdul Wahab

Keyword(s):

Local Binary Pattern ◽

Forgery Detection ◽

Image Forgery ◽

Image Forgery Detection

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Image Forgery Detection using Deep Learning and Signal Processing Methods

10.17918/7r3j-jz80 ◽

2021 ◽

Author(s):

Owen Mayer

Keyword(s):

Signal Processing ◽

Deep Learning ◽

Forgery Detection ◽

Processing Methods ◽

Image Forgery ◽

Image Forgery Detection ◽

Signal Processing Methods

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