Suchergebnisse - Digital Image Forgery Detection and Identification

HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities von Ali A. Elrowayati, Mohamed A. Alrshah, Mohammad Faiz Liew Abdullah, Rohaya Latip

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Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations von Pranab Kumar Dhar, Tetsuya Shimamura

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Image forgery detection: comprehensive review of digital forensics approaches von Singh, Satyendra, Kumar, Rajesh

“… Image is a powerful way to share information in the digital world. The sources of images are everywhere, magazines, newspapers, healthcare, entertainment, education, social media and electronic media …”
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A PUF-Based Data-Device Hash for Tampered Image Detection and Source Camera Identification von Zheng, Yue, Cao, Yuan, Chang, Chip-Hong

“… Digital forensics is challenged into seeking advanced technologies for forgery content detection and acquisition device identification …”
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MDR-LOD2 Model: Forgery Detection using Modified Depth ResNet features and Layer Optimized Dunnock Deep Model from Videos von Ugale, Meena, Midhunchakkaravarthy, J.

“… Digital forgery detection implies the identification of any modifications or manipulation of the digital content, typically image, video, or document, to confirm their authenticity …”
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An improved block based copy-move forgery detection technique von Priyanka, Singh, Gurinder, Singh, Kulbir

“… With the increase in demand for identification of authenticity of the digital images, researchers are widely studying the image forgery detection techniques …”
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A cohesive forgery detection for splicing and copy-paste in digital images von Agarwal, Saurabh, Walia, Savita, Jung, Ki-Hyun

“… Splicing and copy-paste are popular means of blind digital image manipulation. In this article, a novel identification of composite splicing and copy-paste …”
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Exploring machine learning approaches for efficient image forgery detection von Radhakrishnan, Abilash, Sawant, Tukaram Namdev, Raghuram, Cheepurupalli, Railis, Dani Jermisha, Singh, Harjasdeep

“… In the digital age, accessible image manipulation raises concerns about authenticity, with forgery techniques threatening personal, journalistic, and security contexts …”
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Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1 von Kadam, Kalyani Dhananjay, Ahirrao, Swati, Kotecha, Ketan

“… With the technological advancements of the modern era, the easy availability of image editing tools has dramatically minimized the costs, expense, and expertise needed to exploit and perpetuate …”
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An efficient copy move forgery detection using deep learning feature extraction and matching algorithm von Agarwal, Ritu, Verma, Om Prakash

“… on a different location, hence the need for a forgery detection system to protect the authenticity of images …”
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DWT and LBP hybrid feature based deep learning technique for image splicing forgery detection von Singh, Mahesh K.

“… it’s crucial to regularly update image forgery detection systems so that they are continuously updated and require more research in this area …”
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Combining PRNU and noiseprint for robust and efficient device source identification von Cozzolino, Davide, Marra, Francesco, Gragnaniello, Diego, Poggi, Giovanni, Verdoliva, Luisa

“… PRNU-based image processing is a key asset in digital multimedia forensics. It allows for reliable device identification and effective detection and localization of image forgeries, in very general conditions …”
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Image forgery techniques: a review von Kaur, Gurpreet, Singh, Navdeep, Kumar, Munish

“… There is a need to develop techniques to identify forgeries present in digital images used by the media, in court trials, and for maintaining visual records, since digital images are commonly used …”
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Unmasking the digital deception - a comprehensive survey on image forgery and detection techniques von Bharathiraja, S., Rajesh Kanna, B., Geetha, S., Anusooya, G.

“… Therefore, robust mechanisms using powerful algorithms are crucial to examining image authenticity and detecting forgery …”
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Identification of copy-move and splicing based forgeries using advanced SURF and revised template matching von Rani, Anuj, Jain, Ajit, Kumar, Manoj

“… Various image tampering detection approaches are used to find the variations or inconsistencies in statistical image features …”
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A review of data preprocessing modules in digital image forensics methods using deep learning von Berthet, Alexandre, Dugelay, Jean-Luc

“… ). Digital image forensics (DIF) includes two main objectives: the detection (and localization) of forgery and the identification of the origin of the acquisition …”
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Image Forgery Detection and Localization via a Reliability Fusion Map von Yao, Hongwei, Xu, Ming, Qiao, Tong, Wu, Yiming, Zheng, Ning

“… On the basis of fingerprints acquired by images from different camera models, the goal of this paper is to design an effective detector capable of completing image forgery detection and localization …”
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Survey on blind image forgery detection von Qazi, Tanzeela, Hayat, Khizar, Khan, Samee U, Madani, Sajjad A, Khan, Imran A, Kołodziej, Joanna, Li, Hongxiang, Lin, Weiyao, Yow, Kin Choong, Xu, Cheng-Zhong

“… Digital image forensics is an increasingly growing research field that symbolises a never ending struggle against forgery and tampering …”
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An optimized CNN model for copy-move forgery detection and localization in digital images using particle swarm and Grey wolf optimization algorithms von Bevinamarad, Prabhu, Unki, Prakash H.

“… The literature reported many deep learning techniques to detect the copy-move forgery images and enhance the detection accuracy …”
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Image Forgery Detection Using Singular Value Decomposition with Some Attacks von Rathore, Neeraj Kumar, Jain, Neelesh Kumar, Shukla, Prashant Kumar, Rawat, UmaShankar, Dubey, Rachana

“… To improve the trustworthiness to assess the digital images by identifying authentic images and tampered images, this work is focused on Copy-Move based image Forgery Detection (CMFD …”
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