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Image stitching is done by combining multiple input images such that the ideal result is a single image that contains context from all the input. It is commonly used in the field of panoramic photography. Large dissimilarities in the input image set are very problematic in image stitching application. These cause several objections in the resulting output such as ghosting and distortion and result may also vary based on the pixel values of the corresponding image. Image stitching combines a number of images taken at high resolution into a composite image. The composite image must consist of images placed at the right position and the aim is to make the edges between images invisible. The quality of stitching is therefore expressed by measuring both the correspondence between adjacent stitched images that form the composite image and the visibility of the seam between the stitched images.-correlation is the preferred method for automatic registration of large number of images. When these methods were compared in terms of speed, the correlation was shown to be the fastest and more accurate image stitching method. Image stitching can be performed using image pixels directly in correlation method.