The analysis of super-resolution reconstruction of linear rotate-scanning infrared image

Different from normal IR image, the infrared linear revolving-scanning image could not be got directly. What we got is only one a line of grey data. To obtain the image, the parameters, the rotate velocity of the linear infrared detector and the rotate radius, are required. Therefore, the principle of the image reconstruction is introduced at first, through which, the relation between the grey data sampled and the data's spatial location is constructed. To solve these problems, two image data mapping ways are introduced and analyzed, which are forward mapping and reverse mapping. Be cause of the particularity of linear rotate-scanning infrared image, the forward mapping method is selected. This method mapping the scanning image datum to the reconstructed image plane, and then triangulate the plane with these mapping points, finally the grid points' gray of the reconstructed image are interpolated by the triangle which includes it. During this process, three triangulation methods are introduced and compared. The experiment shows that the method used can acquire the reconstructed image from the linear rotate-scanning datum with great precision.