Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms
Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms
Recovering a signal (function) from finitely many binary or Fourier samples is one of the core problems in modern imaging, and by now there exist a plethora of methods for recovering a signal from such samples. Examples of methods which can utilize wavelet reconstruction include generalized sampling, infinite-dimensional compressive sensing, …