Complete factorization for poly-phase matrix with linear phase based on semi-rank orthogonal projection matrix
DOI10.1016/j.cam.2019.112390zbMath1490.15023OpenAlexW2969957927MaRDI QIDQ2332703
Guoqiu Wang, Wei Liang, Dingxun Yi, Rong Tang
Publication date: 5 November 2019
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2019.112390
image compressioncompletenessorthogonal projection matrixlinear phasemulti-band filter bankssemi-rank factorization
Factorization of matrices (15A23) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Direct numerical methods for linear systems and matrix inversion (65F05)
Cites Work
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- Construction of compactly supported symmetric and antisymmetric orthonormal wavelets with scale \(=3\)
- An algebraic construction of orthonormal M-band wavelets with perfect reconstruction
- Linear phase paraunitary filter bank with filters of different lengths and its application in image compression
- Lapped unimodular transforms: lifting factorization and structural regularity
- Rank M Wavelets with N Vanishing Moments
- Linear phase paraunitary filter banks: theory, factorizations and designs
- Theory of regular M-band wavelet bases
- On factorization of M-channel paraunitary filterbanks
- Lattice structure for regular paraunitary linear-phase filterbanks and M-band orthogonal symmetric wavelets
- Dyadic-based factorizations for regular paraunitary filterbanks and M-band orthogonal wavelets with structural vanishing moments
- Directional Lapped Transforms for Image Coding
- Directional Lapped Orthogonal Transform: Theory and Design
- Generalized Block-Lifting Factorization of $M$-Channel Biorthogonal Filter Banks for Lossy-to-Lossless Image Coding
- Compression Artifact Reduction by Overlapped-Block Transform Coefficient Estimation With Block Similarity
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