A Bio-Inspired Methodology for Digital Imaging Forensic Detection

Santos, Guilherme; Oliveira, Giovanni R.; Prado, Fernando F.; Serikaku, Rafael; Santos, Ricardo Morello; Wachs-Lopes, Guilherme Alberto; Rodrigues, Paulo S.

doi:10.1109/wvc.2019.8876915

Cited by 1 publication

(2 citation statements)

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“…In average linkage hierarchical clustering, the distance between two clusters is the average distance between each point in one cluster to every point in the other cluster, as shown in Equation (5).…”

Section: Clustering Of Keypointmentioning

confidence: 99%

“…To make forgery or tampering look real some tricks to hide the footprint of forgery are used by virtue of some geometrical transformations such as scale and rotation of the copied regions before pasting them somewhere else in the same image. Some image processing methods, that is, enhancing brightness and texture are also used to cover up the malafide intention of forging or tampering with an image [5].…”

Section: Introductionmentioning

confidence: 99%

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Keypoint based comprehensive copy‐move forgery detection

Sharma

Roy

Mitra

2020

IET Image Processing

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Verifying the authenticity of a digital image has been challenging problem. The simplest of the image tampering tricks is the copy-move forgery. In copy-move forgery copied portion of the image is pasted on another part of the same image. Geometrical transformations are used on the copied portions of the image before pasting it for the tampered image to look realistic and visually convincing. To make it more complex, other processing approaches may also be applied in the forged region for hiding traces of forgery. These processings are the scale, rotation, JPEG compression, and AWGN. In this paper, an approach based on features of the CenSurE keypoint detector and FREAK descriptor is proposed. This combination has novelty in itself as it has never been used for this purpose before to the best of authors' literature studies. CenSurE detectors are fast and give stable and accurate output even in the case of rotated images, which we club with binary descriptor FREAK. Hierarchical clustering and Neighbourhood search is applied in such a way that it can locate and detect multiple copy-move forgeries. The authors are hopeful that the proposed approach may be used in real-time image authentication and copy-move forgery detection.

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Section: Clustering Of Keypointmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%