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» Sparse orthonormal transforms for image compression
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ICIP
2000
IEEE
14 years 6 months ago
Image Compression with Geometrical Wavelets
We introduce a sparse image representation that takes advantage of the geometrical regularity of edges in images. A new class of one-dimensional wavelet orthonormal bases, called ...
Erwan Le Pennec, Stéphane Mallat
ICIP
2010
IEEE
13 years 2 months ago
A sparsity-distortion-optimized multiscale representation of geometry
This paper describes the construction of a new multiresolutional decomposition with applications to image compression. The proposed method designs sparsity-distortion-optimized or...
Osman Gokhan Sezer, Yucel Altunbasak, Onur G. Gule...
IDA
2009
Springer
13 years 11 months ago
Image Coding and Compression with Sparse 3D Discrete Cosine Transform
In this paper, an algorithm for image coding based on a sparse 3-dimensional Discrete Cosine Transform (3D DCT) is studied. The algorithm is essentially a method for achieving a su...
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zad...
ICIP
2004
IEEE
14 years 6 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 14 days ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma