Perceptual Compressive Sensing based on Contrast Sensitivity Function: Can we avoid non-visible redundancies acquisition?

This addresses the issue of inefficient data acquisition in compressive sensing for applications like image processing, though it appears incremental as it builds on existing perceptual methods.

The paper tackles the problem of avoiding the acquisition of non-visible redundancies in compressive sensing by proposing a novel approach based on the contrast sensitivity function, resulting in a method that prevents the capture of imperceptible information.