An Adaptive Copy-Move Forgery Detection Using Wavelet Coefficients Multiscale Decay

Bruni, Vittoria; Ramella, Giuliana; Vitulano, Domenico

doi:10.1007/978-3-030-29888-3_38

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…Moreover, for s = 2 the PSNR value of L 0 is so smaller that the bigger value achieved for s = 4 is in any case much smaller compared with d-VPI and also with the other methods. d. 5 The method requiring the least computation time is BIC, but with lower values of PSNR and SSIM.…”

Section: Downscaling Quantitative Evaluationmentioning

confidence: 99%

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Image scaling by de la Vallée-Poussin filtered interpolation

Ramella¹,

Themistoclakis²

2021

Preprint

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We present a new image scaling method both for downscaling and upscaling, running with any scale factor or desired size. It is based on the sampling of an approximating bivariate polynomial, which globally interpolates the data and is defined by a filter of de la Vallée Poussin type whose action ray is suitable regulated to improve the approximation. The method has been tested on a significant number of different image datasets. The results are evaluated in qualitative and quantitative terms and compared with other available competitive methods. The perceived quality of the resulting scaled images is such that important details are preserved, and the appearance of artifacts is low. Very high-quality measure values in downscaling and the competitive ones in upscaling evidence the effectiveness of the method. Good visual quality, limited computational effort, and moderate memory demanding make the method suitable for real-world applications.

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Section: Downscaling Quantitative Evaluationmentioning

confidence: 99%

“…Sometimes image scaling is used for illicit purposes, e.g., to automatically generate camouflage images whose visual semantics change dramatically after scaling [63]. In these cases, it is very important to detect the scaling effects in order to defend against such attacks and adopt suitable countermeasures [5,21].…”

Section: Introductionmentioning

confidence: 99%

Image scaling by de la Vallée-Poussin filtered interpolation

Ramella¹,

Themistoclakis²

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sometimes image scaling is used for illicit purposes, for example, to automatically generate camouflage images whose visual semantics change dramatically after scaling [7]. In these cases, it is very important to detect the scaling effects in order to defend against such attacks and adopt suitable countermeasures [8,9].…”

Section: Introductionmentioning

confidence: 99%

Image Scaling by de la Vallée-Poussin Filtered Interpolation

Ramella

Themistoclakis

2022

J Math Imaging Vis

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We present a new image scaling method both for downscaling and upscaling, running with any scale factor or desired size. The resized image is achieved by sampling a bivariate polynomial which globally interpolates the data at the new scale. The method’s particularities lay in both the sampling model and the interpolation polynomial we use. Rather than classical uniform grids, we consider an unusual sampling system based on Chebyshev zeros of the first kind. Such optimal distribution of nodes permits to consider near-best interpolation polynomials defined by a filter of de la Vallée-Poussin type. The action ray of this filter provides an additional parameter that can be suitably regulated to improve the approximation. The method has been tested on a significant number of different image datasets. The results are evaluated in qualitative and quantitative terms and compared with other available competitive methods. The perceived quality of the resulting scaled images is such that important details are preserved, and the appearance of artifacts is low. Competitive quality measurement values, good visual quality, limited computational effort, and moderate memory demand make the method suitable for real-world applications.

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An Adaptive Copy-Move Forgery Detection Using Wavelet Coefficients Multiscale Decay

Cited by 2 publications

References 16 publications

Image scaling by de la Vallée-Poussin filtered interpolation

Image scaling by de la Vallée-Poussin filtered interpolation

Image Scaling by de la Vallée-Poussin Filtered Interpolation

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