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A complete bibliography for the methods of computer vision behind this programme would have many tens of thousands of entries.  Many of these references can be found on the Internet and a large number of published papers can be downloaded in PDF format.

The fundamental work for image geometry is Richard Hartley and Andrew Zisserman's Multiple View Geometry in computer vision, Cambridge University Press 2003, Second Edition, ISBN 0521 54051 8
is the link to the Oxford University Computer Vision Group's web site offering Matlab code which has been ported to Borland Delphi 7 for use in this programme. The code itself can be found at:
It also contains some sample chapters of Richard Hartley and Andrew Zisserman's seminal book, "Multiple View Geometry in Computer Vision". The mathematics behind the methods used in this programme can be found there. 

Additional code ported to Delphi for creating this programme can be found at Peter Kovesi's site:
The very extensive Links from the Oxford site offer Web URL's for many of the most important research laboratories working in the field.

Another exhaustive listing of research groups in the computer vision field may be found at:

Adrien Bartoli whose advice on this project was fundamental, has a personal page which may be found at: contains copies of his published papers which delve deeply into the methods involved.

Image enhancement and filtering algorithms used in AirPhotoSE:


A. Rizzi, C. Gatta, D. Marini, A new algorithm for unsupervised global and local colour correction

Local Adaptive Contrast (Wallis):

Wallis, R. An approach to the space variant restoration and enhancement of images. Proceedings, Symposium on Current Mathematical Problems in Image Science, Monterey CA, 1976 10-12 reprinted in C.O. Wilde E. Barrett, eds. Image Science Mathematics, Western Periodicals, North Hollywood, CA, 1977.  

See also: Equation 10.4-6 in W.K. Pratt, Digital Image Processing, 4th ed. Wiley,  p. 289, 2007,descCd-google_preview.html  Search for page 289.

Luminance (Meylan):

L. Meylan, High Dynamic Range Image Rendering with a Retinex-Based Adaptive Filter,
L. Meylan and S. Süsstrunk, Bio-inspired image enhancement for natural colour images, Proc. IS&T/SPIE Electronic Imaging 2004: Human Vision and Electronic Imaging IV, Vol. 5292, pp. 46-56, 2004

Retinex (Land):

K. Barnard and B. Funt, "Investigations into multi-scale retinex," in Colour Imaging: Vision and Technology, pp. 9-17, John Wiley and Sons (1999).

White Balance:

N. Limare, J. L. Lisani, J. M. Morel, A. Belén Petro, C. Sbert, Simplest Colour Balance, Image Processing On Line

Colour Boosting

J, van de Weijer, Colour Features and Local Structure in Images, 2004.

Edge Extraction, Scratch/Dirt Removal, Sharpen: 

I. Scollar, B. Weidner, T. S. Huang,  Image Enhancement Using the Median and the Interquartile Distance,CVGIP(25), No. 2, February 1984, pp. 236-251.

Rectification algorithms::

I. Scollar, A. Tabbagh, A. Hesse, I. Herzog, Archaeological Prospecting and Remote Sensing, Cambridge University Press, 1990, ISBN  0 521 32050 X, Chapter 5, 224-242

Local Stretch:

Beichl, I. Dealing with degeneracy in triangulation, Computing in Science & Engineering, 4, 2002, 70-74.

Bernstein, R. Digital image processing of earth observation data, IBM Journal of Research and Development, 20, 1976, 40-57.

Delaunay, B. Sur la sphere vide. A la mémoire de Georges Voronoi, Izv. Bull.  Acad. Sci. USSR: Class. Sci. Math. Nat., 7, 1934, 793-800. 

Fortune, S. A sweep line algorithm for Voronoi diagrams, Algorithmica 2, 1987, 153-174.

Goshtasby, A. Piecewise linear mapping functions for image registration, Pattern Recognition, 19, 1986, 459-466.

Sibson, R. A brief description of natural neighbour interpolation. Interpreting Multivariate Data, p. 21-36 ed. V. Barnet, Wiley, Chichester, 1981.

Voronoi GF. Nouvelles applications des paramètres continus à la théorie des formes quadratiques. Deuxième Mémoire, Recherche sur les parallélopèdres   primitifs. Journal Reine u. Angewandte Mathematik, 1908 134 198-287.