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- Chen Chen, Eric W. Tramel, James E. Fowler
- 2011 Conference Record of the Forty Fifthâ€¦
- 2011

Compressed-sensing reconstruction of still images and video sequences driven by multihypothesis predictions is considered. Specifically, for still images, multiple predictions drawn for an image block are made from spatially surrounding blocks within an initial non-predicted reconstruction. For video, multihypothesis predictions of the current frame areâ€¦ (More)

- James E. Fowler, Sungkwang Mun, Eric W. Tramel
- Foundations and Trends in Signal Processing
- 2012

A number of techniques for the compressed sensing of imagery are surveyed. Various imaging media are considered, including still images, motion video, as well as multiview image sets and multiview video. A particular emphasis is placed on block-based compressed sensing due to its advantages in terms of both lightweight reconstruction complexity as well as aâ€¦ (More)

- James E. Fowler, Sungkwang Mun, Eric W. Tramel
- 2011 19th European Signal Processing Conference
- 2011

A multiscale variant of the block compressed sensing with smoothed projected Landweber reconstruction algorithm is proposed for the compressed sensing of images. In essence, block-based compressed-sensing sampling is deployed independently within each subband of each decomposition level of a wavelet transform of an image. The corresponding multiscaleâ€¦ (More)

- Eric W. Tramel, James E. Fowler
- 2011 Data Compression Conference
- 2011

The compressed-sensing recovery of video sequences driven by multihypothesis predictions is considered. Specifically, multihypothesis predictions of the current frame are used to generate a residual in the domain of the compressed-sensing random projections. This residual being typically more compressible than the original frame leads to improvedâ€¦ (More)

- Wei Li, Eric W. Tramel, Saurabh Prasad, James E. Fowler
- IEEE Transactions on Geoscience and Remoteâ€¦
- 2014

A classifier that couples nearest-subspace classification with a distance-weighted Tikhonov regularization is proposed for hyperspectral imagery. The resulting nearest-regularized-subspace classifier seeks an approximation of each testing sample via a linear combination of training samples within each class. The class label is then derived according to theâ€¦ (More)

- Maria Trocan, Eric W. Tramel, James E. Fowler, BÃ©atrice Pesquet-Popescu
- Multimedia Tools and Applications
- 2012

In the compressed sensing of multiview images and video sequences, signal prediction is incorporated into the reconstruction process in order to exploit the high degree of interview and temporal correlation common to multiview scenarios. Instead of recovering each individual frame independently, neighboring frames in both the view and temporal directionsâ€¦ (More)

- Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka ZdeborovÃ¡
- 2014 IEEE International Symposium on Informationâ€¦
- 2014

We consider a variational free energy approach for compressed sensing. We first show that the naïve mean field approach performs remarkably well when coupled with a noise learning procedure. We also notice that it leads to the same equations as those used for iterative thresholding.We then discuss the Bethe free energy and how it corresponds to theâ€¦ (More)

- Maria Trocan, Thomas Maugey, Eric W. Tramel, James E. Fowler, BÃ©atrice Pesquet-Popescu
- 2010 IEEE International Conference on Imageâ€¦
- 2010

Compressed sensing is applied to multiview image sets and inter-image disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree of inter-image correlation common to multiview scenarios. Instead of recovering images in the set independently from one another, two neighboring images are used to calculate aâ€¦ (More)

Approximate Message Passing (AMP) has been shown to be a superior method for inference problems, such as the recovery of signals from sets of noisy, lower-dimensionality measurements, both in terms of reconstruction accuracy and in computational efficiency. However, AMP suffers from serious convergence issues in contexts that do not exactly match itsâ€¦ (More)

- Chen Chen, Wei Li, Eric W. Tramel, Minshan Cui, Saurabh Prasad, James E. Fowler
- IEEE Journal of Selected Topics in Applied Earthâ€¦
- 2014

Spectral-spatial preprocessing using multihypothesis prediction is proposed for improving accuracy of hyperspectral image classification. Specifically, multiple spatially collocated pixel vectors are used as a hypothesis set from which a prediction for each pixel vector of interest is generated. Additionally, a spectral-band-partitioning strategy based onâ€¦ (More)