Results 31 to 40 of about 1,112 (156)
A Multiresolution Image Completion Algorithm for Compressing Digital Color Images
Journal of Applied Mathematics, 2014 This paper introduces a new framework for image coding that uses image inpainting method. In the proposed algorithm, the input image is subjected to image analysis to remove some of the portions purposefully.
R. Gomathi, A. Vincent Antony Kumar
doaj +1 more source
Quaternionic shearlet transform [PDF]
Optik, 2018 Abstract The shearlet transform has been shown to be a valuable and powerful time–frequency analyzing tool for optics and non-stationary signal processing. In this article, we propose a novel transform called quaternionic shearlet transform which is designed to represent quaternion-valued signals at different scales, locations and orientations.
Firdous A. Shah, Azhar Y. Tantary
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Perceptual watermarking for Discrete Shearlet transform [PDF]
2014 5th European Workshop on Visual Information Processing (EUVIP), 2014 This paper presents a new perceptual watermarking model for Discrete Shearlet transform (DST). DST provides the optimal representation [10] of the image features based on multi-resolution and multi-directional analysis. This property can be exploited on for watermark embedding to achieve the watermarking imperceptibility by introducing the human visual
Baharak Ahmaderaghi +3 more
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Scale Invariant Interest Points with Shearlets
, 2016 Shearlets are a relatively new directional multi-scale framework for signal analysis, which have been shown effective to enhance signal discontinuities such as edges and corners at multiple scales.
De Vito, Ernesto +3 more
core +1 more source
Multivariate $\alpha$-molecules
, 2016 The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropic features.
Flinth, Axel, Schäfer, Martin
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Convex multiclass segmentation with shearlet regularization [PDF]
International Journal of Computer Mathematics, 2013 Segmentation plays an important role in many preprocessing stages in image processing. Recently, convex relaxation methods for image multi-labeling were proposed in the literature. Often these models involve the total variation (TV) semi-norm as regularizing term.
Sören Häuser, Gabriele Steidl
openaire +2 more sources
Paleoceanography and Paleoclimatology, Volume 41, Issue 4, April 2026.Abstract Seismic reflection data from Vincennes Bay, East Antarctica, provide the first insights into the Cenozoic evolution of the East Antarctic Ice Sheet (EAIS) in the Knox Coast. Long‐distance seismic horizon correlation allows age estimates for the seismic stratigraphic framework constructed for the continental shelf.
Timo Mühlberger‐Krause +7 more
wiley +1 more source
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm [PDF]
, 2011 Multivariate problems are typically governed by anisotropic features such as edges in images. A common bracket of most of the various directional representation systems which have been proposed to deliver sparse approximations of such features is the ...
Gitta Kutyniok +4 more
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, 2012 Anisotropic decompositions using representation systems based on parabolic scaling such as curvelets or shearlets have recently attracted significantly increased attention due to the fact that they were shown to provide optimally sparse approximations of
Grohs, Philipp, Kutyniok, Gitta
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Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Energy Science &Engineering, Volume 14, Issue 3, Page 1353-1371, March 2026.Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source