Image compression based on a multi-directional map-dependent algorithm

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

zbMATH Keywords

edge-adapted compression algorithm for images

Mathematics Subject Classification ID

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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