1. A method for example-based face hallucination on a face hallucination system, comprising the steps of: preparing a training database with a plurality of training images and inputting a low resolution (LR) face image to be hallucinated; determining a projection matrix for projecting said plurality of training images of said training database onto a manifold domain for clearly differentiating projected images of said plurality of training images using a manifold learning technique; projecting said plurality of training images of said training database and said LR face image onto said manifold domain using said projection matrix, where y L representing a projected image of said LR face image and y train representing projected training images of said training; images of said training database; selecting a training set best matching y L from N projected training images y train , where N is not greater than a total number of said plurality of training images; learning a set of basis images by using basis decomposition on said training set and y L , said set of basis images including a set of high resolution prototype faces of in said training set and a low resolution (LR) prototype face of y L ; and reconstructing a high resolution face image of said LR face image by using said basis images.