Multiresolution representation of data: a general framework
SIAM Journal on Numerical Analysis
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Digital Image Compression Techniques
Digital Image Compression Techniques
ENO-Wavelet Transforms for Piecewise Smooth Functions
SIAM Journal on Numerical Analysis
Analysis of a New Nonlinear Subdivision Scheme. Applications in Image Processing
Foundations of Computational Mathematics
Nonexpansive pyramid for image coding using a nonlinear filterbank
IEEE Transactions on Image Processing
M-band nonlinear subband decompositions with perfect reconstruction
IEEE Transactions on Image Processing
A review on the piecewise polynomial harmonic interpolation
Applied Numerical Mathematics
On a class of L1-stable nonlinear cell-average multiresolution schemes
Journal of Computational and Applied Mathematics
SVD-wavelet algorithm for image compression
MIV'05 Proceedings of the 5th WSEAS international conference on Multimedia, internet & video technologies
Cell-average nonlinear multiresolution on the quincunx pyramid
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Proceedings of the 7th international conference on Curves and Surfaces
Lossless and near-lossless image compression based on multiresolution analysis
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
Multiresolution transforms provide useful tools for image processing applications. For an optimal representation of the edges, it is crucial to develop nonlinear schemes which are not based on tensor product. This paper links the nonseparable quincunx pyramid and the nonlinear discrete Harten's multiresolution framework. In order to obtain the stability of these representations, an error-control multiresolution algorithm is introduced. A prescribed accuracy in various norms is ensured by these strategies. Explicit error bounds are presented. Finally, a nonlinear reconstruction is proposed and tested.