We show that near-blackness is required, both for signal-to-noise enhancements and for superresolution

2018

We show that near-blackness is required, both for signal-to-noise enhancements and for superresolution

2018

- Maximum entropy inversion is a non-linear inversion technique for inverse problems where the object to be recovered is known to be positive. It has been applied in areas ranging from radio astronomy to various forms of spectroscopy, sometimes with dramatic success
- ME has attained an order of magnitude finer resolution and/or an order of magnitude smaller noise level than that obtainable by standard linear methods
- The dramatic successes all seem to occur in cases where the object to be recovered is ‘nearly black‘: essentially zero in the vast majority of samples
- We show that near-blackness is required, both for signal-to-noise enhancements and for superresolution
- Other methods—in particular, minimum l1-norm reconstruction—may exploit near-blackness to an even greater extent