Blind image restoration by employing an optimized wiener filter

In this work, results for blind image restoration performed on the remotely sensed images of a target are given. The images are recorded by two cameras: one visible and one infrared camera. Visible and infrared images are dominantly degraded by the atmospheric factors (turbulence and aerosol) and the defocus aberration of the optical system, respectively. Different types of curves are fitted to the edge spread function and the system modulation transfer functions (MTF) corresponding to these curves are determined. Later on, restoration is performed on the images using Wiener filters constructed based on these MTF´s. The parameters of the Wiener filters are adjusted in order to optimize the performance of the restoration. The performance of the restoration is compared for different types of curve-fitting. To our knowledge, this work is the first one reported in the literature which performs image restoration using the proposed method on dominantly atmospherically blurred images.