Results 151 to 160 of about 302,463 (187)

Photon-sparse heralded imaging

SPIE Proceedings, 2014
ABSTRACT How many photons does it ta ke to form an image? Although a single photon can be spatially encoded to carry large amounts of information, real images are not fully orthogonal to each other and hence, realistically, require many detected photons to distinguish between them.
Peter A. Morris, Reuben S. Aspden, Jessica Bell, Daniel S. Tasca, Robert W. Boyd, Miles J. Padgett   +5 more
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Sparse Demixing of Hyperspectral Images

IEEE Transactions on Image Processing, 2012
In the LMM for hyperspectral images, all the image spectra lie on a high-dimensional simplex with corners called endmembers. Given a set of endmembers, the standard calculation of fractional abundances with constrained least squares typically identifies the spectra as combinations of most, if not all, endmembers.
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Sparse representation of complex MRI images

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
Sparse representation of images acquired from Magnet Resonance Imaging (MRI) has several potential applications. MRI is unique in that the raw images are complex. Complex wavelet transforms (CWT) can be used to produce flexible signal representations when compared to Discrete Wavelet Transform (DWT).
Hari Prasad, Nandakumar, Jim, Ji
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Learning Doubly Sparse Transforms for Images

IEEE Transactions on Image Processing, 2013
The sparsity of images in a transform domain or dictionary has been exploited in many applications in image processing. For example, analytical sparsifying transforms, such as wavelets and discrete cosine transform (DCT), have been extensively used in compression standards.
Saiprasad, Ravishankar, Yoram, Bresler
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Sparse, Active Aperture Imaging

IEEE Journal of Selected Topics in Signal Processing, 2008
We describe an approach to radar imaging of an isolated, rotating target using coherent, sparse, or highly thinned arrays of transmit/receive elements. The array elements are assumed to be randomly positioned and accurately surveyed after placement. Further, the isolated target is assumed to occupy a limited angular sector such that there is no source ...
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Wavelet based sparse source imaging technique

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
The present study proposed a novel multi-resolution wavelet to efficiently compress cortical current densities on the highly convoluted cortical surface. The basis function of the proposed wavelet is supported on triangular faces of the cortical mesh and it is thus named as the face-based wavelet to be distinguished from other vertex-based wavelets ...
Lei, Ding, Min, Zhu, Ke, Liao
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Jointly Sparse Hashing for Image Retrieval

IEEE Transactions on Image Processing, 2018
Recently, hash learning attracts great attentions since it can obtain fast image retrieval on large-scale datasets by using a series of discriminative binary codes. The popular methods include manifold-based hashing methods, which aim to learn the binary codes by embedding the original high-dimensional data into low-dimensional intrinsic subspace ...
Zhihui Lai, Yudong Chen, Jian Wu, Wai Keung Wong, Fumin Shen   +4 more
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Sparse microwave imaging: Principles and applications

Science China Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Bingchen, Hong, Wen, Wu, Yirong
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Determining biosonar images using sparse representations

The Journal of the Acoustical Society of America, 2009
Echolocating bats are thought to be able to create an image of their environment by emitting pulses and analyzing the reflected echoes. In this paper, the theory of sparse representations and its more recent further development into compressed sensing are applied to this biosonar image formation task.
Fontaine, Bertrand, Peremans, Herbert
openaire   +3 more sources

Sparse geometric image representations with bandelets

IEEE Transactions on Image Processing, 2005
This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates directions in which the image gray levels have regular variations.
Erwan, Le Pennec, Stéphane, Mallat
openaire   +2 more sources