Results 51 to 60 of about 34,561 (185)
Digital image forensics via intrinsic fingerprints [PDF]
Digital imaging has experienced tremendous growth in recent decades, and digital camera images have been used in a growing number of applications. With such increasing popularity and the availability of low-cost image editing software, the integrity of digital image content can no longer be taken for granted. This paper introduces a new methodology for
Ashwin Swaminathan, Min Wu, K.J. Ray Liu
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Conceptual evidence collection and analysis methodology for Android devices
Android devices continue to grow in popularity and capability meaning the need for a forensically sound evidence collection methodology for these devices also increases. This chapter proposes a methodology for evidence collection and analysis for Android
Al Mutawa +23 more
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Digital Image Forensics using Deep Learning
This paper was written in 2018 as a part of our submission to the 2018 IEEE Signal Processing Cup: Forensic Camera Model Identification ...
Nagaraj, Akash +4 more
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Implementation of Image Enhancement Algorithm for Image Forensics using Mathlab
The purpose of this journal is to explain the implementation of the image enhancement algorithm for image forensics. Image Forensic deals with the types of digital evidence in the form of digital image files. One of the most commonly used digital devices
Fauzan Novaldi Suteja +2 more
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An Analysis of Forensic Imaging in the Absence of Write-Blockers
Best practices in digital forensics demand use of write-blockers when creating forensic copies of digital media and this has been a core of computer forensics training for decades. The practice is so in-grained that images created without a write-blocker
Gary C Kessler, Greg H Carlton
doaj
Digital Image Forensics: Discovering The History Of Digital Images
Digital multimedia contents such as image, video, and audio can be tampered easily due to the availability of powerful editing softwares. Multimedia forensics is devoted to analyze these contents by using various digital forensic techniques in order to validate their authenticity.
Singh, Gurinder, Singh, Kulbir
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A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection
Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing.
Francesco Marra +3 more
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An Evaluation of Popular Copy-Move Forgery Detection Approaches
A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Angelopoulou, Elli +4 more
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Hybrid Domain Perception Combined With Multi-expert Decoding to Improve Image Forgery Localization
With the advancements in multimedia software and hardware technology, image forgery localization has become an important challenge in digital forensics.
Xuchao Gong +5 more
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In the digital age, the proliferation and complexity of data present significant challenges for digital forensic analysis. Traditional tools often struggle to keep pace with the volume and sophistication of data, leading to delays in detecting illicit ...
William Villegas-Ch +2 more
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