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Relevant bibliographies by topics / Copy move detection / Dissertations / Theses

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Dissertations / Theses on the topic 'Copy move detection'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Khayeat, Ali. "Copy-move forgery detection in digital images." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/107043/.

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The ready availability of image-editing software makes it important to ensure the authenticity of images. This thesis concerns the detection and localization of cloning, or Copy-Move Forgery (CMF), which is the most common type of image tampering, in which part(s) of the image are copied and pasted back somewhere else in the same image. Post-processing can be used to produce more realistic doctored images and thus can increase the difficulty of detecting forgery. This thesis presents three novel methods for CMF detection, using feature extraction, surface fitting and segmentation. The Dense Sc

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Bhatnagar, Kunal, and Gustav Ekner. "Copy-move Image Forgery Detection with Convolutional Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302507.

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Copy-move manipulation is a forgery method used on images where a small part is copied to another part. This thesis analyses the detection of copy-move forgeries with the help of Convolutional Neural Networks (CNN). The model used is utilizing an existing custom CNN layer to identify features useful for detecting manipulations. The model is trained and validated on data with different grades of manipulation to determine which combinations give the highest accuracy. The grades are determined by the copy-move size, ranging between 10% and 60% of the image size. The results show that training on

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Li, Yuan Man. "SIFT-based image copy-move forgery detection and its adversarial attacks." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3952093.

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Albrechtsen, Justin Scott. "Are intuitive responses more accurate at detecting deception than deliberate responses?" To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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5

Koebele, Clemens. "Mode-division-multiplexing as a possibility to cope with the increasing capacity demand in optical transmission systems." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00762642.

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Currently deployed optical transmission systems use coherent detection for data rates of 40 Gb/s and 100 Gb/s. Quadrature phase shift keying (QPSK) modulation using four phase levels in combination with polarization division multiplexing (PDM) allows transmitting four bits per symbol. The use of more complex modulation formats, such as 16 level quadrature amplitude modulation (16QAM) allows increasing the data rate. However, this method reduces dramatically the transmission reach. For example, when passing from 100 Gb/s PDM-QPSK to 200 Gb/s PDM-16QAM, the reach is reduced by a factor of five.

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Chen, Ling-Ying, and 陳怜穎. "Pyramid Structure for Copy-Move Forgery Detection." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/27911697635315331597.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>103<br>This paper solves the passive copy-move detection efficiently. A copy-move attack is defined as a region of an image being replaced by a copy of other region in the same image. The proposed scheme improves the performance on the assumption of the copy-move area being larger than a predefined block size. Test image is partitioned to non-overlapping segmented block according to previous predefined block size. Each comparison block, which is overlapped extracted from a segmented block, is compared with upper-left comparison block of all segmented block. Experimen

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7

Yang, Ging-Chu, and 楊青矗. "Copy-Move Forgery Detection in Digital Image." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/7jw5nc.

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碩士<br>佛光大學<br>資訊學系<br>97<br>Digital images are easy to be tempered and edited due to availability of image editing software. Generally, image tampering protection can be divided into two kinds: (1) active protection: The original digital image is embedded with a watermark which can be used to detect tampering. (2) passive protection: it does not need any digital watermark or signature but relies on the image processing technology to detect the forgery. Passive approaches have not yet been thoroughly researched. The most common ways to temper a digital image is copy-paste forgery which is used

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8

Hao-ChiangHsu and 許豪江. "Detection of Copy-Move Forgery Image Using Gabor Descriptor." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/01528765039792755705.

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碩士<br>國立成功大學<br>工程科學系碩博士班<br>100<br>With the advance of science and technology, images are easily accessible to everybody. It is also easy to be changed about the content. Images are usually as criminal evidences and news report. How to make sure if the content is not changed becomes a very important issue. In this research, the Gabor filter is mainly applied to get the features of the image under inspected. It is easy to get the rotation and/or scaling versions of the Gabor filter. An image is divided into overlapped sub-blocks with different block size. Each sub-block is convoluted with a pr

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9

D'Amiano, Luca. "A new technique for video copy-move forgery detection." Tesi di dottorato, 2017. http://www.fedoa.unina.it/12254/1/DAmiano_Luca_XXX.pdf.

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This thesis describes an algorithm for detecting copy-move falsifications in digital video. The thesis is composed of 5 chapters. In the first chapter there is an introduction to forgery detection for digital images and videos. Chapters 2, 3 and 4 describe in detail the techniques used for the implementation of the detection algorithm. The experimental results are presented in the fifth and last chapter.

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10

DEEPAK. "A SUPER-SIFT APPROACH FOR COPY-MOVE FORGERY DETECTION." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15910.

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Today’s technological era is described by the outspread of digital images. They are the most ordinary formation of conveying information whether through newspapers, internet, books, magazine, scientific journals or social media. They are used as a powerful proof against various crimes, frauds and as an evidence in various situations. With the evolution of image processing in past few years and many other image editing software, capturing, creating or altering images according to our perspective has become very simple and available. There are several kinds of image tampering like copy-mov

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11

Chou, Chih-Hung, and 周志鴻. "Robustness of Copy-Move Forgery Detection Against JPEG Compression Artifacts." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/96109216455528448807.

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碩士<br>大葉大學<br>電機工程學系<br>102<br>In recent years, the popularity of digital cameras, smart phones and tablet computers has made the acquisition of digital images become easier. In addition, modern photo-editing software package such as Photoshop and PhotoImpact makes it relatively simple to create digital image forgeries, on which people almost cannot perceive the difference between the original image and its tampered version. The most common approach used to create a digital image forgery is the so-called copy-move method, which copies a specific block of image and then pastes it into another r

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12

Wu, Tsz-An, and 吳慈安. "An Integrated Technique for Splicing and Copy-move Forgery Image Detection." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/51062184224375026870.

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碩士<br>國立東華大學<br>資訊工程學系<br>99<br>Digital images can be easily forged with various image processing tools; nowadays the issue of digital image forgery becomes more and more important. As JPEG has been popularly used in image compression standard, forgery detection of JPEG images plays an important role now. Forging on compressed images often involves recompression and tends to erase those forging traces existed in un-compressed images. We could, however, attempt to discover new traces caused by recompression and use these traces to detect the recompressed image’s forgery. The artifacts introduce

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13

Shandilya, Meenal. "Detection of Geometric Transformations in Copy-Move Forgery of Digital Images." Thesis, 2015. http://ethesis.nitrkl.ac.in/7590/1/2015_MT_Detection_Shandila.pdf.

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Digital Forensics is a branch of forensic science which is related to cyber crime. It basically involves the detection, recovery and investigation of material found in digital devices. Digital images and videos plays most important role in digital forensics. They are the prime evidences of any crime scene. So the fidelity of the image is important. Digital images can be easily manipulated and edited with the help of image processing tools. Copy-move Forgery is the most primitive form of cyber attack on digital images. In Copy-move forgery a part of image (region) itself is copied and pasted in

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14

SAPRA, PRINCE. "STUDY AND IMPLEMENTATION OF COPY-MOVE FORGERY DETECTION METHODS IN IMAGE PROCESSING." Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18180.

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This research work is based on copy-move forgery detection. The copy-move forgery detection technique has various phases which include pre-processing, feature extraction and marking of forgery part on the image. In the previous methodology PCA algorithm was used for the feature reduction in the copy-move forgery detection. The parameters which are taken as input by the PCA algorithm for the feature reduction were defined statically. In this research work, to improve performance of the copy-move forgery detection model, PCA parameters needs to define dynamically. The GLCM algorithm is us

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Chang, Yi-Cheng, and 張逸丞. "An Efficiency Enhanced Cluster Expanding Block Algorithm for Copy-Move Forgery Detection." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/06126375561288108204.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>103<br>This paper presents an algorithm for identifying copy-move forgery area in an image using efﬁcient enhanced cluster expanding blocks strategy. First, the image is divided into overlapping blocks and two features, mean and variance, are calculated from each block. These two features are sorted and grouped into two different kinds of clusters. Combining a cluster with its neighboring cluster forms a bucket. The proposed scheme then uses expanding block method to compare all blocks in each bucket. Finally, the duplicated regions are found by matching detected blo

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Chou, Tsung-Hsuan, and 周仲軒. "Investigation on Copy-Move Detection by Multi-Block Features and Expanding Block Strategies." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3gpnpd.

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碩士<br>淡江大學<br>資訊工程學系碩士在職專班<br>105<br>The thesis investigates features on detecting copy-move duplicated regions. The structure of copy-move detection is searching keypoints through the Scale Invariant Feature Transform(SIFT), matched blocks acquired from these keypoints by invariant moments, region growing by surrounding matched blocks. The analyses include the Scale Invariant Feature Transform(SIFT) for calculating keypoints, keypoints match, invariant moments comparisons, sizes of region growing blocks. This thesis examines various parameters and thresholds of the adopted structure. We also

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17

TSAI, YI-LIN, and 蔡宜霖. "Image Copy-move Forgery Detection Using Color Features and Hierarchical Feature Point Matching." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/cq949m.

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碩士<br>國立中正大學<br>資訊工程研究所<br>107<br>In recent years, with rapid development of multimedia applications, digital images are easily forged. Copy-move forgery is a common type of forged images. With the advancement of technology, many types of copy-move forgery detection approaches had been proposed. Most of these approaches can be roughly divided into two categories: block-based and feature point-based. In this study, an image copy-move forgery detection using color features and hierarchical feature point matching is proposed. First, in order to extract enough feature points, image enhancement is

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18

AMERINI, IRENE. "Image Forensics: sourceidentification and tamperingdetection." Doctoral thesis, 2010. http://hdl.handle.net/2158/520262.

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19

Wang, Han, and 王瀚. "Detecting Copy-Move Forgery Regions through Multi-Block Features." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/04495684675004787236.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>104<br>This paper identifies copy-move forgery regions in an image through invariant features extracted from each block. First, an image is divided into overlapped blocks and 7 invariant moment features of the circle area under each block are calculated. Two features, mean and variance, are then acquired from the 7 moment features in each block. Each block is only compared to those blocks under the intersection of the same mean and variance feature sets. The copy-move forgery regions can be found by matching the detected blocks with the identical distance. Moreover,

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20

Lu, Wei-Yu, and 盧威宇. "Detecting Copy-Move Forgery Regions through SIFT and Region Growing Strategies." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/7ne8y4.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>105<br>Since digital cameras and smart phones have become an indispensable part of life, a lot of digital images are widely used. However, digital image has the property of easy to modify through image editing software, the ability to find real image is a great challenge. This paper presents an algorithm to detect copy-move image regions by SIFT keypoints and region growing technique. First, the SIFT keypoints denotes important image’s feature points. By using scale similarity comparison technique, the similar starting 99 pair blocks are acquired. The region growing

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21

Xi-FuYang and 楊錫府. "Detecting Splicing and Copy-move Forgeries in Images Based on Convolutional Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/5u5adf.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>107<br>With the Internet development and the availability of image editing tools, digital images can be easily manipulated and edited. Therefore, the credibility of digital images has faced severe challenges. In digital image forensic, the copy-move and splicing forgeries are popular forgery attacks. For copy-move forgery, a part of the image is copied and pasted elsewhere in the same image in order to cover possible important messages. However, the image splicing is to duplicate a region of another image to the original image so as to add the contents not belongi

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YADAV, PRASHIT. "DETECTION OF COPY MORE FORGERY IN DIGITAL IMAGES USING AN OPTIMIZED BLOCK BASED APPROACH." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14922.

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Technology is growing exponentially and so does the sophistication of various imaging tools that makes it easier for a person to forge digital images. There are several types of forgeries which are done on images out of which Copy-Move is one of the most widely used. In this type of forgery a portion of an image is copied and pasted over to another portion to conceal some information. Several approaches have been developed so far to detect such kind of forgery. In the block based approach the image is divided into overlapping blocks and each block is matched against every other block for

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23

KUMAR, AKSHAT. "DETECTING DUPLICATE REGIONS IN DIGITAL IMAGES USING IMPROVED LOCALIZATION METHOD." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15630.

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Now days, the uses of digital images has increased and so has the forgery mechanisms. Copy-Move forgery is one of the types of image forgery. In the case of copy-move forgery one small region of image is replaced with another region within the same image. Many algorithms already developed for detecting copy-move regions but the major problem for most of the algorithms are localization of duplicate regions within same image after detecting copy-move part. Here we present an efficient approach for detecting duplicate regions in a digital image. In our method, we have used PCA (Principal Componen

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