Affine parameter estimation from the trace transform

Kadyrov, A. A.; Petrou, Maria

doi:10.1109/icpr.2002.1048423

Cited by 13 publications

(13 citation statements)

References 14 publications

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“…Fig.4 illustrates different kinds of image processing attacks, including cropping (60% remains), noise (5%), JPEG (20% quality), Darken (nonlinear) and Darken plus Histogram Equalization. We also test the moment based algorithm [3] and the trace transform based algorithm [5] for comparison. In the trace transform based algorithm, the selected trace function and diagonal function are illustrated in…”

Section: Experiments Resultsmentioning

confidence: 99%

“…In [4], Lucchese et al estimated affine parameters by the relationships between companion stretched slices of the Fourier transforms magnitudes of the two images. In [5], Kadyrov et al proposed a trace transform based algorithm, which calculates affine parameters by trace transforms. However, the above algorithms are not robust to cropping and darken attacks, and the estimation precision is not accurate enough for digital watermark applications.…”

Section: Introductionmentioning

confidence: 99%

“…Trace transformation illustrated inFig.1[5], in which a set of lines criss-cross an image. Each line l is defined by parameters φ and p. The trace transform calculates a function T(t) called the trace function, over parameter t along each line (φ , p).…”

mentioning

confidence: 99%

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A Correlation Coefficient Based Affine Parameter Estimation Algorithm for Image Watermark Detection

Tang

Zhang

2010

2010 Second International Workshop on Education Technology and Computer Science

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In digital image watermark applications, most of watermark algorithms are vulnerable to geometrical affine transformation attacks. In order to resist affine transformation attacks, we propose a correlation coefficient based algorithm, which uses the original image to estimate affine parameters and recover the affine transformed image before watermark detection. Compared with existing affine parameter estimation algorithms, the correlation coefficient based algorithm is more precise, and is able to resist various image processing attacks, including cropping and darken (luminance modification). Therefore, the proposed algorithm is particularly suitable for affine transformation recovery in digital watermark applications.

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Section: Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Correlation Coefficient Based Affine Parameter Estimation Algorithm for Image Watermark Detection

Tang

Zhang

2010

2010 Second International Workshop on Education Technology and Computer Science

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“…With the Trace transform, an image is transformed into another "image," which is also a 2-D function but depending on two parameters that characterize those criss-crossing lines. Then by computing the second and third functional of this 2-D function, we finally obtain a single number-the triple feature [18], [19]. When the three functionals are invariant or sensitive [16] to displacement, the triple feature would be invariant to image rotation, translation and scaling, which may find direct application in database query, change detection, site monitoring, etc.…”

Section: Introductionmentioning

confidence: 99%

Applications of the Trace Transform in Surface Wave Attenuation on Seismic Records

Yang

2011

IEEE Trans. Geosci. Remote Sensing

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A main target of seismic data processing is to remove the surface waves and improve the quality of seismic records. Here, we propose a Co-Core Trace (CCT ) transform filtering based on the Trace transform from image processing and apply it to seismic surface wave attenuation. The CCT transform is designed according to the distribution and propagation of the surface waves. In the CCT transform domain, the energies of surface waves are significantly enhanced and could be filtered out with a relative threshold, while the reflection events are saved due to the conspicuous disparity. Experiments on both synthetic model and field data demonstrate that the proposed algorithm performs well both in surface wave attenuation and reflected signal preservation, besides presenting advantages over some conventional methods.Index Terms-Seismic record processing, surface wave filter, the Co-Core Trace (CCT ) transform filtering, the Trace transform.

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“…We can distinguish mainly two type of approaches: image-based and feature-based. The imagebased approaches try to find a transformation that maximizes the overlap between the two images, usually by analyzing them in the frequency domain [2,4,6]. Conversely, feature-based approaches are characterized by two phases: Initially a set of features is extracted from each image and are then matched to estimate the affine transformation [3,5,12,11].…”

Section: Introductionmentioning

confidence: 99%

A Hypergraph-based Approach to Affine Parameters Estimation

Bulò

Albarelli

Torsello

et al. 2008

2008 19th International Conference on Pattern Recognition

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A problem commonly encountered in Computer Vision is the recovery of the transformation parameters between two affinely distorted images. In this paper, we propose a novel feature-based approach that casts the matching problem to the search of a maximum clique over an auxiliary hypergraph. We also introduce a continuous-based characterization of cliques in hypergraphs that allows us to handle the hard combinatorial problem using tools from the continuous domain. Finally, we present experimental result and comparisons with a state-of-the-art algorithm.

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Affine parameter estimation from the trace transform

Cited by 13 publications

References 14 publications

A Correlation Coefficient Based Affine Parameter Estimation Algorithm for Image Watermark Detection

A Correlation Coefficient Based Affine Parameter Estimation Algorithm for Image Watermark Detection

Applications of the Trace Transform in Surface Wave Attenuation on Seismic Records

A Hypergraph-based Approach to Affine Parameters Estimation

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