Image compression based on a multi-directional map-dependent algorithm
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Publication:2381647
DOI10.1016/j.acha.2006.12.002zbMath1124.68032OpenAlexW2004714956MaRDI QIDQ2381647
M. Doblas, Jean Baccou, Francesc Aràndiga, Jacques Liandrat
Publication date: 18 September 2007
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.acha.2006.12.002
Computing methodologies for image processing (68U10) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)
Related Items (8)
Cell-average multiresolution based on local polynomial regression. application to image processing ⋮ Directional Haar wavelet frames on triangles ⋮ Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images ⋮ A 2D prediction step using multiquadric local interpolation with adaptive parameter estimation for image compression ⋮ Non-separable two-dimensional weighted ENO interpolation ⋮ Kriging-based interpolatory subdivision schemes ⋮ Cell-filtering-based multi-scale Shannon–Cosine wavelet denoising method for locust slice images ⋮ Cell average image transform algorithms with exact error control
Cites Work
- Quasilinear subdivision schemes with applications to ENO interpolation.
- Nonlinear multiscale decompositions: The approach of A. Harten
- Tensor product multiresolution analysis with error control for compact image representation
- Discrete multi-resolution analysis and generalized wavelets
- POSITION-DEPENDENT LAGRANGE INTERPOLATING MULTIRESOLUTIONS
- Embedded image coding using zerotrees of wavelet coefficients
- Multiresolution Representation of Data: A General Framework
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