The Super-Resolution Restoring Method based on Micro-Displacement

The super-resolution (SR) method is a method which used a sequence of low-resolution images (LR)to restore a frame or a sequence of good high resolution images (HR). Based on the characteristic of the micro-displacement between a sequence of low resolution images, to deduce the gray iterative expressions. Two improved methods are arisen from the method; it makes the restored images better. And in the course of improving, a new image quality evaluation method based on texture analysis is presented. After this method comparing with Mean squared error (MSE), it is known that this new method was better than MSE. So in the two kinds of improved SR methods, the new image quality evaluation method is as aim function to get parameters for best SR restored image. Finally, experimental results show that the method properly retrieves details of images, and subjective visual effect of the restored images is improved significantly.