Image stitching techniques

  • Jalpa D. Mehta
  • S. G. Bhirud


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. It is also known as mosaicing. “Stitching” refers to the technique of using a computer to merge images together to create a large image, preferably without it being at all noticeable that the generated image has been created by computer. Algorithms for aligning images and stitching them into seamless photo-mosaics are among the oldest and most widely used in computer vision. Frame-rate image alignment is used in every camcorder that has an “image stabilization” feature. Image stitching algorithms create the high resolution photo-mosaics used to produce today’s digital maps and satellite photos. They also come bundled with most digital cameras currently being sold, and can be used to create beautiful ultra wide-angle panoramas.


Panoramic Image Sift Feature Image Alignment Adjacent Image Camera Rotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    P.J.Burt, E.H. Andelson, “A multiresolution spline with application to image mosaics”, ACM transactions on Graphics 2 (4) (1983)Google Scholar
  2. 2.
    M. Brown and D. G. Lowe, “Recognizing Panorama” IEEE transaction on Image Processing-2003Google Scholar
  3. 3.
    Richard Szeliski, “Image Alignment and Stitching”- Micro-soft Reasearch lab 2005Google Scholar
  4. 4.
    Jiaya jia, Chi-keung Tang, “Image Stitching using Structure Deformation”-IEEE transaction on pattern analysis and machine intelligence, vol 30, 2008Google Scholar
  5. 5.
    E. H. Adelson, C. H. Anderson, J. R. Bergen “Pyramid methods in image processing”, 1984Google Scholar
  6. 6.
    J.-Y. Guillemaut, J. Kilner, J. Starck, A. Hilton, “Dynamic Feathering: Minimising Blending Artefacts in View-Dependent Rendering” – IEEE transaction on Image processing 2008Google Scholar
  7. 7.
    Jiaya Jia, Chi-Keung Tang, “Eliminating Structure and Intensity Misalignment in Image Stitching” Research Grant Council of Hong Kong Special Administration Region, China (AOE/E-1999)Google Scholar
  8. 8.
    H.-Y. Shum and R. Szeliski. “Construction of panoramic mosaics with global and local alignment”. International Journal of Computer Vision, 36(2):101–130, February 2000. Erratum published July 2002, 48(2):151–152Google Scholar

Copyright information

© Springer India Pvt. Ltd 2011

Authors and Affiliations

  • Jalpa D. Mehta
    • 1
  • S. G. Bhirud
    • 1
  1. 1.Department of Computer TechnologyVJTIMumbaiIndia

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