Image stitching

Two images stitched together. The photo on the right is distorted slightly so that it matches up with the one on the left.

Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Commonly performed through the use of computer software, most approaches to image stitching require nearly exact overlaps between images and identical exposures to produce seamless results,[1][2] although some stitching algorithms actually benefit from differently exposed images by doing high-dynamic-range imaging in regions of overlap.[3][4] Some digital cameras can stitch their photos internally.

  1. ^ Mann, Steve; Picard, R. W. (November 13–16, 1994). "Virtual bellows: constructing high-quality stills from video". Proceedings of the IEEE First International Conference on Image Processing. IEEE International Conference. Austin, Texas: IEEE. doi:10.1109/ICIP.1994.413336. S2CID 16153752.
  2. ^ Ward, Greg (2006). "Hiding seams in high dynamic range panoramas". Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization. ACM International Conference. Vol. 153. ACM. doi:10.1145/1140491.1140527. ISBN 1-59593-429-4.
  3. ^ Mann, Steve (May 9–14, 1993). Compositing Multiple Pictures of the Same Scene. Proceedings of the 46th Annual Imaging Science & Technology Conference.
  4. ^ S. Mann, C. Manders, and J. Fung, "The Lightspace Change Constraint Equation (LCCE) with practical application to estimation of the projectivity+gain transformation between multiple pictures of the same subject matter Archived 2023-03-14 at the Wayback Machine" IEEE International Conference on Acoustics, Speech, and Signal Processing, 6–10 April 2003, pp III - 481-4 vol.3