Results 51 to 60 of about 322 (151)

Overcoming Natural Similarity: A DenseNet-Based Approach for Reliable Transform Copy-Move Forgery Identification

IEEE Access
Digital image forensics aims to verify the authenticity of an image by determining its origin and any processing it has undergone. Among passive approaches in copy move forgery detection, which analyze images without requiring prior embedded information,
Tanzeela Qazi, Mohsin Shah, Mushtaq Ali, Muhammad Nawaz Khan, Ahmad Ali Alzubi, Abeer Alnuaim, Tariq Hussain   +6 more
doaj   +1 more source

Copy-move forgery detection in digital images [PDF]

The ready availability of image-editing software makes it important to ensure the authenticity of images. This thesis concerns the detection and localization of cloning, or Copy-Move Forgery (CMF), which is the most common type of image tampering, in which part(s) of the image are copied and pasted back somewhere else in the same image. Post-processing
openaire   +1 more source

ECMNet: A deep framework for copy move forgery localization detection and classification

Results in Engineering
Copy-move forgery is one of the most prevalent forms of digital image forgery. It violates the authenticity of digital images in the context of documentation, judicial reports, social media, military operations, journalism, intelligence, and so on ...
Anjani Kumar Rai, Subodh Srivastava
doaj   +1 more source

FI-SURF algorithm for image copy-flip-move forgery detection

Tongxin xuebao, 2015
FI-SURF (flip invariant SURF) algorithm was proposed,for the consideration of the copy-move forgery detec-tion of digital images.The arrangement of the SURF (speeded-up robust features) descriptor after image flip was studied.After extract the SURF ...
IYan L, IUNian L, HANGBin Z, UANKai-guo Y, ANGYi-xian Y   +4 more
doaj   +2 more sources

Biorthogonal wavelet transform-based adaptive segmentation and statistical keypoint matching approach for image forgery detection

ETRI Journal
Detecting copy–move forgeries in digital images, especially those with smooth, small, and geometrically distorted regions, remains challenging. Existing methods often cannot efficiently locate forged regions in such cases.
Shwetha Basavarajappa , Sathyanarayana Sarapady Venkatramanayya   +1 more
doaj   +1 more source

Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction

IEEE Access
In the development of image forensics, detection of Copy-Move Forgery (CMF) has become a major challenge due to the proliferation of image forgery techniques.
Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman   +6 more
doaj   +1 more source

Retracted: Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

A new technique for video copy-move forgery detection. [PDF]

, 2017
This thesis describes an algorithm for detecting copy-move falsifications in digital video. The thesis is composed of 5 chapters. In the first chapter there is an introduction to forgery detection for digital images and videos. Chapters 2, 3 and 4 describe in detail the techniques used for the implementation of the detection algorithm. The experimental
openaire   +1 more source

Detection of image copy-move forgery using local intensity order pattern

Tongxin xuebao, 2016
Copy-move forgery was one of the most simple and common way of image manipulations.To improve the ro-bustness of most existing copy-move forgery detections,a new method based on local intensity order pattern was pro-posed.First,the LIOP feature ...
Jing LIN, Tian-qiang HUANG, Ling-peng LIN, Xiao-chen1 LI   +3 more
doaj  

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends. [PDF]

Multimed Tools Appl, 2023
El-Shafai W, Fouda MA, El-Rabaie EM, El-Salam NA.   +3 more
europepmc   +1 more source