Robust and blind watermarking algorithm based on DCT and SVD in the contourlet domain
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08530-z
Abstract: A blind watermarking algorithm in multiple transform domains is presented for copyright protection. This robust algorithm is designed by fusing contourlet transform (CT), discrete cosine transform (DCT) and singular value decomposition (SVD). The host image… read more here.
Keywords: watermarking algorithm; based dct; blind watermarking; robust blind ... See more keywords
Improved contourlet transform construction and its application to surface defect recognition of metals
Sign Up to like & getrecommendations! Published in 2020 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-020-00720-5
Abstract: A new multiscale subspace method of feature extraction based on improved contourlet transform (ICT) and kernel spectral regression (KSR) is proposed. We construct the ICT according to the construction mode of contourlet transform and nonsubsampled… read more here.
Keywords: construction; surface; contourlet; improved contourlet ... See more keywords
Towed Streamer-based Simultaneous Source Separation by Contourlet Transform
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3181598
Abstract: Simultaneous towed-streamer marine acquisition has the advantages of reducing the total time requirements and costs of surveys. However, the seismic records obtained are blended seismic data, so the successful deblending of such data is the… read more here.
Keywords: bayesian threshold; contourlet transform; contourlet; towed streamer ... See more keywords
A combined HMM–PCNN model in the contourlet domain for image data compression
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DOI: 10.1371/journal.pone.0236089
Abstract: Multiscale geometric analysis (MGA) is not only characterized by multi-resolution, time-frequency localization, multidirectionality and anisotropy, but also outdoes the limitations of wavelet transform in representing high-dimensional singular data such as edges and contours. Therefore, researchers… read more here.
Keywords: image data; compression; image; model ... See more keywords
Correlated-Weighted Statistically Modeled Contourlet and Curvelet Coefficient Image-Based Breast Tumor Classification Using Deep Learning
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DOI: 10.3390/diagnostics13010069
Abstract: Deep learning-based automatic classification of breast tumors using parametric imaging techniques from ultrasound (US) B-mode images is still an exciting research area. The Rician inverse Gaussian (RiIG) distribution is currently emerging as an appropriate example… read more here.
Keywords: classification; riig; curvelet; deep learning ... See more keywords