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Detection of seam carving and localization of seam insertions in digital images

Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath
2009 Proceedings of the 11th ACM workshop on Multimedia and security - MM&Sec '09  
In this paper, we explore techniques to detect seam carving (or seam insertion) without knowledge of the original image.  ...  The feature yields a detection accuracy of 80% and 85% for seam carving and seam insertion, respectively.  ...  INTRODUCTION Digital image forensics is a recent field aimed at blindly detecting tampering in digital images.  ... 
doi:10.1145/1597817.1597837 dblp:conf/mmsec/SarkarNM09 fatcat:rgyg42wztndorbnju2d5syojxe

Seam Carving Detection and Localization Using Two-Stage Deep Neural Networks [chapter]

Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021 Lecture Notes in Electrical Engineering  
In this paper, we propose a two-step method to detect and localize seam carved images. First, we build a detector to detect small patches in an image that has been seam carved.  ...  Our experimental results show that our approach is effective in detecting and localizing seam carved images.  ...  Detection of Seam Carving In order to detect and localize seam carving in images, we propose a two-stage detection approach: one for detection of seam carved patches and the other for localizing seam carving  ... 
doi:10.1007/978-981-16-0289-4_29 fatcat:6i755bgvzvharigj7fekgcu2bu

Detection of Content-Aware Image Resizing Using Seam Properties

Seung Jin Ryu, Hae Yeoun Lee, Heung Kyu Lee
2013 Applied Mechanics and Materials  
This paper proposes a resizing detector that reveals the trace of seam carving and seam insertion. To unveil the evidence of seam carving, we exploit energy bias of seam carved images.  ...  In addition, the correlation between adjacent pixels is analyzed to estimate the inserted seams.  ...  Detection of inserted seams: (a) enlarged image by seam insertion, (b) detected seams from (a), (c) inserted seams in (a), (d) original image, and (e) detected seams from (d). Fig. 3(a) .  ... 
doi:10.4028/www.scientific.net/amm.284-287.3074 fatcat:bfbljts5jvfzdaso5qsxmtb25q

Detecting Trace of Seam Carving for Forensic Analysis

Seung-Jin RYU, Hae-Yeoun LEE, Heung-Kyu LEE
2014 IEICE transactions on information and systems  
Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion. key words: image forensics, content-aware image  ...  We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving.  ...  Acknowledgments This work was partially supported by Defense Acquisition Program Administration and Agency for Defense Development under the contract (UD060048AD).  ... 
doi:10.1587/transinf.e97.d.1304 fatcat:uw5yk43povc45b5rixtdnvmm2m

Seam carving based image resizing detection using hybrid features

2017 Tehnički Vjesnik  
Otkrivanje promjene veličine slike temeljeno na tekućem skaliranju uporabom hibridnih značajki Original scientific paper Detection of seam carving-based digital image resizing is a challenging task in  ...  Resizing with seam carving is realized by inserting or removing relatively unimportant pixel paths to/from the images and so the changes in image content are mostly unnoticeable.  ...  Seam carving and seam insertion are detected 80 % and 85 % respectively.  ... 
doi:10.17559/tv-20160804121351 fatcat:jrg5vmwjfjejrfbvve42v6c2vy

SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery [article]

Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2021 arXiv   pre-print
This paper proposes a novel approach for detecting and localizing seams in such images.  ...  While there are methods to detect seam carving based manipulations, this is the first time that robust localization and detection of seam carving forgery is made possible.  ...  Acknowledgment This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA), the National Geospatial-Intelligence Agency (NGA) and the  ... 
arXiv:2108.12534v1 fatcat:xtwvj3r4gzaodczivus4a5ttde

A Machine Learning Method for Detecting the Trace of Seam Carving

Zehra Karapinar Senturk, Devrim Akgun
2021 Elektronika ir Elektrotechnika  
The aim of this paper is to introduce a new blind detection method for identifying retargeted images based on seam carving.  ...  Detecting image retargeting is of importance in image forensics or sometimes of importance in checking the originality.  ...  Since the seam-carving operation removes or inserts seams for size reduction or expansion, the seams are the most affected items in the images.  ... 
doi:10.5755/j02.eie.29050 fatcat:lq7edl7covewzozvpee7lhokyi

Detection of Image Seam Carving Using a Novel Pattern

Ming Lu, Shaozhang Niu
2019 Computational Intelligence and Neuroscience  
Once an image is seam carved, the distribution of magnitude levels for the pixel intensity differences in the local neighborhood will be changed, which can be considered as a clue for detection of seam  ...  Firstly, the histogram features of LNMOP and HOG (histogram of oriented gradient) are extracted from the images for seam carving forgery detection.  ...  Acknowledgments is work was supported by the National Natural Science Foundation of China (grant nos. 61370195 and U1536121).  ... 
doi:10.1155/2019/9492358 pmid:31827494 pmcid:PMC6885291 fatcat:cpn5c2x6yjfhlcqoneqdms5gfa

Deep Convolutional Neural Network for Identifying Seam-Carving Forgery [article]

Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
2020 arXiv   pre-print
Seam carving is actively exploited to overcome diversity in the resolution of images between applications and devices; hence, detecting the distortion caused by seam carving has become important in image  ...  Compared to the baselines, our work exhibits state-of-the-art performance in terms of three-class classification (original, seam inserted, and seam removed).  ...  results of seam-insertion localization, (d) original images (4224 × 2816) with seams corresponding to 10% of the width marked in green, (e) 10% seam-inserted images, (f) results of seam-insertion localization  ... 
arXiv:2007.02393v2 fatcat:c4qtdak6rnbavd5wn2tkgbbm4m

An End-to-End Approach for Seam Carving Detection using Deep Neural Networks [article]

Thierry P. Moreira, Marcos Cleison S. Santana, Leandro A. Passos João Paulo Papa, Kelton Augusto P. da Costa
2022 arXiv   pre-print
In this paper, we propose an end-to-end approach to cope with the problem of automatic seam carving detection that can obtain state-of-the-art results.  ...  Seam carving is a computational method capable of resizing images for both reduction and expansion based on its content, instead of the image geometry.  ...  Development (CNPq) #307066/2017-7 and #427968/2018-6, as well as the Engineering and Physical Sciences Research Council (EPSRC) grant EP/T021063/1 and its principal investigator Ahsan Adeel.  ... 
arXiv:2203.02728v1 fatcat:h3lmp3v6yjgsvmt6v6hovbse7y

An image retargeting scheme with content-based cropping and local significance aware seam carving

Po-Chyi Su, Yung-Chieh Chou
2015 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)  
The selection of seams is based on the gradient in one direction and local energy to avoid obvious distortions.  ...  The seam carving is first employed to remove insignificant pixels in the middle part of image.  ...  Fig. 2 2 An example of adding seams (a) the seam carved image superimposed with inserted seams and (b) the resulting image.  ... 
doi:10.1109/apsipa.2015.7415349 dblp:conf/apsipa/SuC15 fatcat:zhf4blgqo5da5lkjcxefvxttcy

Seam carving for content-aware image resizing

Shai Avidan, Ariel Shamir
2007 ACM Transactions on Graphics  
By automatically carving out seams to reduce image size, and inserting seams to extend it, we achieve content-aware resizing.  ...  Figure 1 : A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical seam.  ...  We thank Eric Chan for the use of the waterfall image, and numerous flickr (http://www.flickr.com/) members for making their images available through creative common rights (http://creativecommons.org/  ... 
doi:10.1145/1276377.1276390 fatcat:c5isayesejbqdnfyxckovscwqu

Content Aware Retargeting of Stego Images

K. Thilagam, S. Karthikeyan
2012 International Journal of Computer Applications  
In this paper we attempt to retarget stego images in a content preserving manner using a modified seam carving technique called PSC.  ...  In steganography, resizing, compressing, and changing the color or format of stego images would result in loss of hidden information.  ...  If the receiver is capable of running seam carving algorithm locally a set of seams can be generated on the spot and added to this image (seam insertion) to enlarge the image further to fit the target  ... 
doi:10.5120/8292-1667 fatcat:k6twvjm2sjf33ns7drenjsepue

Seam carving for content-aware image resizing

Shai Avidan, Ariel Shamir
2007 ACM SIGGRAPH 2007 papers on - SIGGRAPH '07  
By automatically carving out seams to reduce image size, and inserting seams to extend it, we achieve content-aware resizing.  ...  By repeatedly carving out or inserting seams in one direction we can change the aspect ratio of an image. By applying these operators in both directions we can retarget the image to a new size.  ...  We thank Eric Chan for the use of the waterfall image, and numerous flickr (http://www.flickr.com/) members for making their images available through creative common rights (http://creativecommons.org/  ... 
doi:10.1145/1275808.1276390 fatcat:mqgofxxqubbbpmbfriskn2zg4y

Seam carving for content-aware image resizing

Shai Avidan, Ariel Shamir
2007 ACM Transactions on Graphics  
By automatically carving out seams to reduce image size, and inserting seams to extend it, we achieve content-aware resizing.  ...  By repeatedly carving out or inserting seams in one direction we can change the aspect ratio of an image. By applying these operators in both directions we can retarget the image to a new size.  ...  We thank Eric Chan for the use of the waterfall image, and numerous flickr (http://www.flickr.com/) members for making their images available through creative common rights (http://creativecommons.org/  ... 
doi:10.1145/1239451.1239461 fatcat:oict3pakuzgydodaq34lljpu7e
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