Results 31 to 40 of about 2,421 (183)

Image interpolation using Shearlet based iterative refinement [PDF]

open access: yes, 2013
This paper proposes an image interpolation algorithm exploiting sparse representation for natural images. It involves three main steps: (a) obtaining an initial estimate of the high resolution image using linear methods like FIR filtering, (b) promoting ...
Kutyniok, G.   +5 more
core   +2 more sources

Shearlets and Optimally Sparse Approximations

open access: yes, 2011
Multivariate functions are typically governed by anisotropic features such as edges in images or shock fronts in solutions of transport-dominated equations.
DL Donoho   +12 more
core   +1 more source

A Multiresolution Image Completion Algorithm for Compressing Digital Color Images

open access: yesJournal 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

Inhomogeneous shearlet coorbit spaces [PDF]

open access: yesInternational Journal of Wavelets, Multiresolution and Information Processing, 2018
In this paper, we establish inhomogeneous coorbit spaces related to the continuous shearlet transform and the weighted Lebesgue spaces [Formula: see text] for certain weights [Formula: see text]. We present an inhomogeneous shearlet frame for [Formula: see text] which gives rise to a reproducing kernel [Formula: see text] that is not contained in the ...
Fabian Feise, Lukas Sawatzki
openaire   +3 more sources

Scale Invariant Interest Points with Shearlets

open access: yes, 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

Introduction to Shearlets [PDF]

open access: yes, 2012
Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional multiscale methods are not very efficient at capturing edges and other anisotropic features which frequently dominate multidimensional phenomena, several methods were ...
Gitta Kutyniok, Demetrio Labate
openaire   +1 more source

A Robust Reversible Watermarking Algorithm Resistant to Geometric Attacks Based on Tchebichef Moments

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper presents a robust reversible watermarking algorithm based on Chebyshev moments, employing a two‐stage embedding mechanism. The proposed method leverages image block partitioning to embed the copyright watermark and the reversible watermark into non‐overlapping regions located inside and outside the inscribed circle of the image, respectively.
Wenjing Sun, Ling Zhang, Hongjun Zhang
wiley   +1 more source

A Secure and Robust Blockchain‐Based Medical Image Encryption Approach Using Lorenz Chaotic System

open access: yesJournal of Sensors, Volume 2026, Issue 1, 2026.
Keeping medical images confidential while transmitting is crucial, especially in an open networking environment. One effective approach is blockchain‐based encryption, which provides strong security for sensitive healthcare data. To ensure the greatest levels of medical data integrity and authenticity, our proposed scheme employs a unique Lorenz ...
Fahima Hajjej   +4 more
wiley   +1 more source

Multivariate $\alpha$-molecules

open access: yes, 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
core   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

open access: yesModern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song   +17 more
wiley   +1 more source

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