A Study on NSCT based Super-Resolution Reconstruction for Infrared Image

A non-sampled contourlet transform based super-resolution reconstruction method is proposed to improve infrared image quality, for the reason of the infrared detection image always has characteristic of low spatial resolution and contrast. the reconstruct method use the non-sampled contourlet transform to decomposed origin image into low pass sub band and band pass sub band images firstly, and then the edge detection operator and parabolic error compound interpolation are used to super resolution reconstruct for all bands image with adaptive edge preserving, simultaneously the low pass sub band image is enhanced by linear transform. At last the high resolution image is restored by non-sampled contourlet transform. An image simulation conducts to verification reconstruct algorithm for multiple infrared images. By compared with other variety of methods, the result draw a conclusion, which is that the method proposed in this paper, is not only effectively on improving the contrast of infrared image, but also the edge information preserving perfectly. This method has the important engineering value for real time reconstruct high resolution infrared image in the actual infrared imaging detection application.