Detection of copy–move forgery using a method based on blur moment invariants

Mahdian, Babak; Saic, Stanislav

doi:10.1016/j.forsciint.2006.11.002

Cited by 361 publications

(172 citation statements)

References 6 publications

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“…The method was tested for copy-move forgery with no rotation, with rotation and also for different levels of JPEG Q factors. The method was found to be advantageous than previous methods using DWT and the methods in [12] and [13]. The work in [14] put forward a method using DCT and circular blocks in 2012.…”

Section: Fig 2: Common Processing Pipeline For Copy-move Forgery Detementioning

confidence: 99%

Recent Block-based Methods of Copy-Move Forgery Detection in Digital Images

Sekhar¹,

S²

2014

IJCA

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Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copymove forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods.

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Section: Fig 2: Common Processing Pipeline For Copy-move Forgery Detementioning

confidence: 99%

Recent Block-based Methods of Copy-Move Forgery Detection in Digital Images

Sekhar¹,

S²

2014

IJCA

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“…The authors give two different detection schemes: exact and robust matching those successfully detects duplicate regions in an image even when the images are post processed following a copy-paste. Methods based on blur movement invariants and DWT, SVD, PCA based sorted neighborhood approaches are suggested in [19], [20], [21] for robust detection of cloned regions in an image.…”

Section: Cloning Detectionmentioning

confidence: 99%

A Secure Watermarking and Tempering Detection Technique Using 2 Level DWT

Rajawat¹,

Tomar²

2014

IJWSESD

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“…Feature transformed approaches include block-based discrete cosine transform (DCT) (Fridrich et al 2003), principal component analysis (PCA) (Popescu and Farid 2004), discrete wavelet transform (DWT) (Bashar et al 2010), Dyadic Wavelet Transform (DyWT) (Muhammad et al 2011), and Fourier-MellinTransform (FMT) (Bayram et al 2009). In addition, some non-typical block-based features include singular value decomposition (SVD) (Kang and Wei 2008), and blur-invariant moments (BLUR) (Mahdian and Saic 2007).…”

Section: Introductionmentioning

confidence: 99%

Fusion of block and keypoints based approaches for effective copy-move image forgery detection

Zheng

Liu

Ren

et al. 2016

Multidim Syst Sign Process

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Abstract. Keypoint-based and block-based methods are two main categories of techniques for detecting copy-move forged images, one of the most common digital image forgery schemes. In general, block-based methods suffer from high computational cost due to the large number of image blocks used and fail to handle geometric transformations. On the contrary, keypoint-based approaches can overcome these two drawbacks yet are found difficult to deal with smooth regions. As a result, fusion of these two approaches is proposed for effective copy-move forgery detection. First, our scheme adaptively determines an appropriate initial size of regions to segment the image into non-overlapped regions. Feature points are extracted as keypoints using the scale invariant feature transform (SIFT) from the image. The ratio between the number of keypoints and the total number of pixels in that region is used to classify the region into smooth or nonsmooth (keypoints) regions. Accordingly, block based approach using Zernike moments and keypoint based approach using SIFT along with filtering and post-processing are respectively applied to these two kinds of regions for effective forgery detection. Experimental results show that the proposed fusion scheme outperforms the keypoint-based method in reliability of detection and the block-based method in efficiency.

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Detection of copy–move forgery using a method based on blur moment invariants

Cited by 361 publications

References 6 publications

Recent Block-based Methods of Copy-Move Forgery Detection in Digital Images

Recent Block-based Methods of Copy-Move Forgery Detection in Digital Images

A Secure Watermarking and Tempering Detection Technique Using 2 Level DWT

Fusion of block and keypoints based approaches for effective copy-move image forgery detection

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