Call for Paper - November 2023 Edition
IJCA solicits original research papers for the November 2023 Edition. Last date of manuscript submission is October 20, 2023. Read More

Template Matching to Enhance HUD Colour Images

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 47 - Number 9
Year of Publication: 2012
Shashi Poddar
Amitava Das
Vinod Karar

Shashi Poddar, Amitava Das and Vinod Karar. Article: Template Matching to Enhance HUD Colour Images. International Journal of Computer Applications 47(9):31-34, June 2012. Full text available. BibTeX

	author = {Shashi Poddar and Amitava Das and Vinod Karar},
	title = {Article: Template Matching to Enhance HUD Colour Images},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {47},
	number = {9},
	pages = {31-34},
	month = {June},
	note = {Full text available}


Head up Display (HUD) is a means of presenting information to the pilot key flight instrument data onto a set of glasses regarded as 'beam combiner' positioned just in front of the pilot's line of sight looking ahead out of the aircraft helping him in key tasks like take off, navigation and landing. It also improves the situational awareness greatly by displaying flight, sensor and instrument data in the pilot's forward field of view. HUD employs a CCD camera mounted right in front of the pilot, that is, between the beam combiner and the pilot for recording the view comprising of the outside world and the HUD symbology as seen by the pilot. This recorded video is sent directly through telemetry to the flight analysis ground station for real time flight data analysis as seen by the pilot as well as to guide the pilot. The recorded video is also used for post flight analysis as well as video source for HUD repeater display used by the pilot occupying rear cockpit seat in case of trainer aircrafts. The inconsistent and improper lighting conditions prevailing during weather conditions such as rain, snow, fog, bright sunny daylight and against the white clouds causes either insufficient or excessive light intensity at different spatial locations falling on the CCD camera sensor head resulting in degraded image quality with very low contrast. The work presented in this paper attempts to tackle this problem through theoretical study and experimental analysis. A customized template matching technique is also presented here for enhancement of the video captured by HUD camera. Added to this, hardware based methods are also suggested which can be employed for real time video enhancement.


  • Available [Online] http://en. wikipedia. org/wiki/Head-up_display
  • Marconi, U. S. Patent 4,261,647 (1981), Head Up Displays
  • S. K. Nayar and V. Branzoi, "Adaptive dynamic range imaging: optical control of pixel exposures over space and time". In Proc . ICCV , volume 2 , p ages 1168–1175, Oct 2003.
  • Nayar et. Al, "Adaptive imaging using digital light processing", US Patent, 0211077, Sep. 2011.
  • Michael A. Webster, J. D. Mollon, The influence of contrast adaptation on color appearance, Vision Research, Volume 34, Issue 15, August 1994, Pages 1993-2020, ISSN 0042-6989, 10. 1016/0042-6989(94)90028-0.
  • Hsien-Che-Lee, "Introduction to color imaging science", pg. 354-pg357, Cambridge University Press, Cambridge (2005).
  • Purves, D. & Lotto, R. B. (2003) Why We See What We Do: An Empirical Theory of Vision (Sinauer, Sunderland, MA).
  • Mannami, H. ; Sagawa, R. ; Mukaigawa, Y. ; Echigo, T. ; Yagi, Y. ; , "High Dynamic Range Camera using Reflective Liquid Crystal," Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on , vol. , no. , pp. 1-8, 14-21 Oct. 2007
  • H. Bao, G. Wang, N. Li, "Character Recognition of Instrument Board in Sequent Color Image", IS&T/SPIE's 15th Annual Symposium on Electronic Imaging, Santa Clara, California, U. S. A, Jan. 2003
  • Qingming Huang, Wen Gao, WenjianCai, Thresholding technique with adaptive window selection for uneven lighting image, Pattern Recognition Letters, Volume 26, Issue 6, 1 May 2005, Pages 801-808.
  • R. C. Gonzalez and R. E. Woods, "Digital Image Processing', 3rd edition, Prentice Hall, 2009