Image registration is the fundamental task used to match two or more partially overlapping images taken, for example, at different times,from different sensors, or from different viewpoints and stitch these images into one panoramic image comprising the whole scene. It is afundamental image processing technique and is very useful in integrating information from different sensors, finding changes in images taken at different times, inferring three-dimensional information from stereo images, and recognizing model-based objects. This paper overviews the theoretical aspects of an image registration problem. The purpose of this paper is to present a survey of image registration techniques. This technique of image registration aligns two images geometrically. These two images are reference image and sensed image. The ultimate purpose of digital image filtering is to support the visual identification of certain features expressed by characteristic shapes and patterns. Numerous recipes, algorithms and ready made programs exist nowadays that predominantly have in common that users have to set certain parameters. Particularly if processing is fast and shows results rather immediately, the choice of parameters may be guided by making the image ―looking nice‖. However, in practical situations most users are not in a mood to ―play around‖ with a displayed image, particularly if they are in a stressy situation as it may encountered in security applications. The requirements for the application of digital image processing under such circumstances will be discussed with an example of automaticfiltering without manual parameter settings that even entails the advantage of delivering unbiased results