Error-control vs classical multiresolution algorithms for image compression

Authors:
S. Amat;J. C. Trillo;P. Viala
Affiliations:
Departamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena, Cartagena, Spain;Departamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena, Cartagena, Spain;Ecole Généraliste d'Ingénieurs de Marseille, Laboratoire d'Analyse Topologie et Probabilites
Venue:
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2006

Citing 9
Cited 0

Some results on uniformly high-order accurate essentially nonoscillatory schemes

Applied Numerical Mathematics - Special issue in honor of Milt Rose's sixtieth birthday
Uniformly high order accurate essentially non-oscillatory schemes, 111

Journal of Computational Physics
Interpolatory subdivision schemes and wavelets

Journal of Approximation Theory
Multiresolution representation of data: a general framework

SIAM Journal on Numerical Analysis
Multiresolution Based on Weighted Averages of the Hat Function I: Linear Reconstruction Techniques

SIAM Journal on Numerical Analysis
Multiresolution Based on Weighted Averages of the Hat Function II: Nonlinear Reconstruction Techniques

SIAM Journal on Scientific Computing
Digital Image Compression Techniques

Digital Image Compression Techniques
Tensor product multiresolution analysis with error control for compact image representation

Signal Processing
De-noising by soft-thresholding

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

Multiresolution schemes within Harten's framework corresponding to interpolatory techniques are used for image compression. The numerical behavior of the error-control and classical algorithms are compared. Compression properties are demonstrated on various tests.