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Copy-move forgery detection from printed images

open access: yes, 2014
Counterfeiting digital images through a copy-move forgery is one of the most common ways of manipulating the semantic content of a picture, whereby a portion of the image is copy-pasted elsewhere into the same image.
Anna Paola Rizzo   +8 more
core   +1 more source

An Enhanced Hybrid Method based on Local and Frequency Feature Extraction for Image Copy Move Forgery Detection

open access: yesMajlesi Journal of Electrical Engineering
Today, due to the advent of the powerful photo editing software packages, it has become relatively easy to create forgery images. Recognizing the correctness of digital images becomes important when those images are used as evidence in legal, forensic ...
Shirin Nayerdinzadeh, Mohammad Yousefi
doaj   +1 more source

Pyramid structure for copy-move forgery detection

open access: yes, 2016
碩士本論文提出一個被動式偵測影像是否遭到複製移動竄改的方法,不需原本未經竄改的影像也能夠偵測出被複製移動竄改的區塊,在一被複製移動竄改的影像中,假設在此影像中被複製移動竄改的區域為大於限定的範圍,對影像進行區塊分割,計算區塊中相互之間的關係,得到被竄改區域中的部分區塊,再藉由這些部分區塊往周圍以金字塔結構進行區塊比對至偵測被竄改區域的所有部分,此方法可降低影像中區塊之間比對的時間及次數。相較其他學者所提出的偵測方法,本論文之偵測方法相較於地毯式偵測的相同條件下,能有一樣的結果但大幅減少執行時間。This
陳怜穎;Chen, Ling-Ying
core   +1 more source

Convolutional Neural Network for Copy-Move Forgery Detection

open access: yes, 2019
Digital image forgery is a growing problem due to the increase in readily-available technology that makes the process relatively easy. In response, several approaches have been developed for detecting digital forgeries. This paper proposes a novel scheme
M. Iqbal   +2 more
core   +2 more sources

Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]

open access: yesE3S Web of Conferences
In response to the rise of manipulated images online, which are often obscured by compression and resizing, effective forgery detection systems have become essential.
C Raghavendra   +3 more
doaj   +1 more source

Copy-Move Forgery Detection in Digital Image

open access: yes, 2012
[[abstract]]Copy-move forgery is a specific type of image tampering where a part of the image is copied and pasted somewhere else in the image with the intent to cover an important image feature.
G-C Yang;C-L Huang
core   +1 more source

An Audio Copy-Move Forgery Localization Model by CNN-Based Spectral Analysis

open access: yesApplied Sciences
In audio copy-move forgery forensics, existing traditional methods typically first segment audio into voiced and silent segments, then compute the similarity between voiced segments to detect and locate forged segments.
Wei Zhao   +3 more
doaj   +1 more source

Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning

open access: yesInternational Journal of Computational Intelligence Systems, 2016
With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image.
Mohammad Farukh Hashmi   +2 more
doaj   +1 more source

State of the art in passive digital image forgery detection: copy-move image forgery

open access: yes, 2018
Authenticating digital images is increasingly becoming important because digital images carry important information and due to their use in different areas such as courts of law as essential pieces of evidence.
Sadeghi, Somayeh   +4 more
core   +3 more sources

Copy-Move Forgery Detection Based on Keypoint Clustering and Similar Neighborhood Search Algorithm

open access: yesIEEE Access, 2020
Copy-move is one of the most commonly used methods of tampering with digital images. Keypoint-based detection is recognized as effective in copy-move forgery detection (CMFD). This paper proposes an efficient CMFD method via clustering SIFT keypoints and
Haipeng Chen, Xiwen Yang, Yingda Lyu
doaj   +1 more source

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