Phase Based Manipulation of Airy Noise in Digital Imaging

TL;DR

This paper introduces a phase-based method to selectively remove airy pattern noise in digital imaging, effectively reducing noise without sacrificing image resolution.

Contribution

A novel phase-based technique for discriminating and eliminating airy lobes, improving noise reduction while preserving resolution in imaging systems.

Findings

Effective noise reduction demonstrated in imaging tests

Preservation of high-frequency resolution

Improved image clarity without resolution loss

Abstract

Any practical imaging system, be it reflection, refraction, or diffraction-based, is basically band limited and therefore is bound to be affected by airy pattern noise. Apodization of the passband is most often applied as a preferred method to get rid of these unwanted artifacts. But it comes at a cost of losing resolution as higher frequencies are tapered in apodization. Here, we propose and demonstrate a novel technique for discriminating the airy lobes based on their phase. We could thus eliminate the dominant noisy lobes without compromising with the resolution of the imaging system.