Výsledky vyhledávání - Digital Image Forgery Detection and Identification

HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities Autor 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 Autor Pranab Kumar Dhar, Tetsuya Shimamura

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Image forgery detection: comprehensive review of digital forensics approaches Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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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