Different Methods of Face Hallucination

In this paper brief description on various methods of face hallucination problem. Baker and Kanade first exploit the face hallucination. In face hallucination getting high resolution image by taking low-resolution image as an input value. Mostly in face images have different sub-parts (eyes, nose...), curves and smooth areas. By comparing results of previously applied existing methods which one uses patch similarity methods to exploit the face image to extract the missing information in it. Resulting values of previous experiments on patch similarity or holistic constraints not to be cleared the face image from the point of view of face recognition for humans in identification area. Face appearance plays an important in face recognition system. By remembering face appearance recognize easily. Face hallucination improves the face features efficiently by improving its resolution using different methods. In this also studied various techniques which can be used in face hallucination.