Simulating Focal Plane Array (FPA) Imaging Using Gaussian Point Spread Function (PSF)

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Resource Overview

Simulating FPA imaging with Gaussian PSF through parameter adjustments and image quality analysis, including code implementation approaches for PSF generation and convolution operations.

Detailed Documentation

In this paper, we employ a Gaussian Point Spread Function (PSF) to simulate the imaging process of Focal Plane Arrays (FPA). This simulation approach enables deeper understanding of FPA imaging principles and characteristics. Specifically, we will adjust PSF parameters to simulate different FPA imaging effects and observe their impact on image quality. The implementation involves generating Gaussian PSF kernels using mathematical formulations (typically involving sigma parameters for spread control) and performing convolution operations with input scenes. This methodology will facilitate optimization of FPA design and applications, ultimately achieving enhanced imaging performance and precision. Key algorithmic steps include PSF kernel normalization and frequency domain convolution techniques for computational efficiency.

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