Page 277 -
P. 277

CHAPTER
                                                                                           7













                                                              Image Restoration











                               7.1 Image Degradations—The Real World

                               Anyone who has ever taken a photograph will understand that capturing an
                               image exactly as it appears in the real world is very difficult, if not impossible.
                               There is noise to contend with, which in the case of photography is caused by
                               the graininess of the emulsion, or the resolution and quantization of the image
                               sensor motion blur, focus problems, depth-of-field issues, and the imperfect
                               nature of even the best lens system. The result of all these degradations is that
                               the image (photograph) is an approximation of the scene.
                                 Often the image is good enough for the purpose for which it was produced.
                               On the other hand, there are some instances where the correction of an image
                               by computer is the only way to obtain a usable picture. The original problems
                               with the Hubble Space Telescope are a case in point; the optics produced
                               images that did not approach the potential of the telescope, and a repair
                               mission was not immediately possible. Computers were used to repair some
                               of the distortion caused by the optics and give images that were of high quality.
                                 Image restoration is the art and science of improving the quality of an image
                               based on some absolute measure. It usually involves some means of undoing
                               a distortion that has been introduced, such as motion blur or film graininess.
                               This can’t be done in any perfect way, but vast improvements are possible in
                               some circumstances.
                                 The techniques of image restoration are very mathematical in nature, and
                               this may distress some people who are interested in the subject. The purpose
                               of this section is to provide insight, and so a very practical approach is taken.


                                                                                                         251
   272   273   274   275   276   277   278   279   280   281   282