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

## TL;DR

This paper introduces a perceptual compressive sensing method that leverages the contrast sensitivity function to skip acquiring information that is not visible to the human eye, reducing unnecessary data collection.

## Contribution

It presents a new CS approach that selectively avoids non-visible redundancies, improving efficiency by integrating perceptual models.

## Key findings

- Reduces data acquisition by excluding non-visible information
- Demonstrates improved efficiency in compressive sensing
- Validates approach with experimental results

## Abstract

In this paper, we propose a novel CS approach in which the acquisition of non-visible information is also avoided.