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4 articles for “image-splicing”
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Detection of Image Tempering: An Exhaustive Survey
Abstract: In modern technology, the manipulation of the digital image is very easy and common. An image can be tampered simply by photo editing software like Photoshop in a very advanced way. The motive of this research is to detect and confront the validness of the image, and if the image has been produced or altered at that point recognizing the altered locale of the image. Here we are utilizing different …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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A Various Study of Tamper Detection and Forgery image : A Survey
Abstract: The fast and dynamic development in innovation dissolves the trust in the integrity of imagery. With the wide accessibility of digital technology and apparatuses, a few of influenced territories concerning digital world are modern photograph scams in media, political battles, military, and mold and media outlet. The fast rate at which the digital crimes are expanding has turned into a noteworthy concern, particularly in the courtroom. To provide food these …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 27–36 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article