Results 61 to 70 of about 9,242 (179)
An Audio Copy-Move Forgery Localization Model by CNN-Based Spectral Analysis
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
Copy-Move Forgery Detection Based on Keypoint Clustering and Similar Neighborhood Search Algorithm
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
A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization
We propose a new algorithm for the reliable detection and localization of video copy-move forgeries. Discovering well crafted video copy-moves may be very difficult, especially when some uniform background is copied to occlude foreground objects.
Huang, Dawei +4 more
core +1 more source
Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection
In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra.
Beijing Chen +4 more
doaj +1 more source
In this paper, we consider the problem of detecting counterfeit identity documents in images captured with smartphones. As the number of documents contain special fonts, we study the applicability of convolutional neural networks (CNNs) for detection of ...
Berenguel +4 more
core +1 more source
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and removal, which mislead the viewers.
Bappy, Jawadul H. +4 more
core +1 more source
Local descriptors based on the image noise residual have proven extremely effective for a number of forensic applications, like forgery detection and localization.
Cozzolino, Davide +2 more
core +1 more source
A Survey on Photo Forgery Detection Methods
In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing.
Gurunlu Bilgehan, Ozturk Serkan
doaj +1 more source
Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
Cao, Yun +3 more
core +1 more source
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H. +8 more
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