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SCALESPACE
2007
Springer
16 years 11 days ago
Best Basis Compressed Sensing
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
Gabriel Peyré
ICIP
2003
IEEE
16 years 7 months ago
An entropy based segmentation algorithm for computer-generated document images
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan
CVPR
2008
IEEE
16 years 8 months ago
Image super-resolution as sparse representation of raw image patches
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
ICIP
2008
IEEE
16 years 21 days ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
CORR
2008
Springer
177views Education» more  CORR 2008»
15 years 6 months ago
Toeplitz Block Matrices in Compressed Sensing
: This paper addresses the problem of reconstructing an image from 1-bit-quantized measurements, considering a simple but nonconventional optical acquisition model. Following a com...
Florian Sebert, Leslie Ying, Yi Ming Zou