Compressive Sensing

6 benchmarks597 papers

Compressive Sensing is a new signal processing framework for efficiently acquiring and reconstructing a signal that have a sparse representation in a fixed linear basis.

<span class="description-source">Source: Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior </span>

Benchmarks

Compressive Sensing on Set11 cs=50%

Average PSNR PSNR

Compressive Sensing on BSD68 CS=50%

Compressive Sensing on BSDS100 - 2x upscaling

Compressive Sensing on Urban100 - 2x upscaling

Compressive Sensing on Set5