Iterative infrared image restoration

Iterative infrared image restoration is concerned with the improvement of infrared imagery acquired in the presence of varying degradations. The degradations can arise from a variety of factors: common examples include undersampling of the infrared image data, uncontrolled platform or scene motion, system aberrations and instabilities, noise characteristic of the infrared detector. In this paper, the mathematic models of infrared image blur and sampling and noise models are discussed. The iterative infrared image restoration problem is discussed, too. We show the origin and restoration infrared images which are used in the application of iterative infrared image restoration. By assessing subjectively and objectively to restoration infrared images, we have verified this kind of model and the feasibility of the iterative infrared image restoration.