MATLAB Simulation of Atmospheric Turbulence Effects on Target Images

Atmospheric turbulence significantly degrades target images by reducing resolution, diminishing clarity, and causing detail loss. In MATLAB simulations, we model turbulence dynamics and characteristics through techniques like phase screen generation using Kolmogorov spectrum models and wave propagation algorithms. The simulation typically involves implementing Fourier-based methods with functions like fft2/ifft2 for wavefront propagation, and adding randomized phase distortions via randn to emulate turbulence effects. Through such simulations, we can visualize turbulence-induced artifacts including image blurring, geometric distortions, and temporal jittering. This enables quantitative analysis using metrics like Strehl ratio calculation or point spread function (PSF) evaluation, facilitating the development and refinement of image processing and restoration algorithms such as blind deconvolution or adaptive optics compensation. Consequently,深入研究 atmospheric turbulence's impact on imagery is crucial for advancing image quality enhancement and computational photography technologies.