Open Access Open Access  Restricted Access Subscription or Fee Access

Enhancing Technique for Arial Images Using Wavelet

G. Bhavani, K. Ashok Babu

Abstract


An *arial image is the taking of photographs of the ground from an elevated position. The term usually refers to images in which the camera is not supported by a ground-based structure. Cameras may be hand held or mounted, and photographs may be taken by a photographer, triggered remotely or triggered automatically. Platforms for aerial photography include fixed-wing aircraft, helicopters, balloons, blimps and dirigibles, rockets, kites, poles, parachutes, vehicle mounted poles. Aerial photography should not be confused with Air-to-Air Photography, when aircraft serve both as a photo platform and subject.Recently we proposed a wavelet-based dynamic range compression algorithm to improve the visual quality of digital images captured in the high dynamic range scenes with non uniform lighting conditions.Image enhancement algorithm which provides dynamic range compression preserving the local contrast and tonal rendition is a very good candidate in aerial imagery applications such as image interpretation for defense and security tasks. This algorithm can further be applied to video streaming for aviation safety. In this project the latest version of the proposed algorithm which is able to enhance aerial images so that the enhanced images are better then direct human observation, is presented. The results obtained by applying the algorithm to numerous aerial images show strong robustness and high image quality.

Keywords


Aerial Imagery, Wavelet based Arthonormal Decomposition, Quality Enhancement

Full Text:

PDF

References


S. M. Pizer and E. P. Amburn, “Adaptive histogram equalization and its variations,” Computer Vision, Graphics, and Image Processing, vol. 39, pp. 355-368, (1987).

J. McCann, “Lessons learned from mondrians applied to real images

and color gamuts,” Proc. IS&T/SID Seventh Color Imaging

Conference, pp. 1-8, (1999).

Z. Rahman, D. J. Jobson, and G. A. Woodell, “Multiscale retinex forcolor image enhancement,” Proc. IEEE International. Conference. on I Processing, (1996)

[Z. Rahman, D. J. Jobson, and G. A. Woodell, “Retinex Processing for Automatic Image Enhancement", Journal of Electronic Imaging, January (2004).

A. Rizzi, C. Gatta, and D. Marini, “From Retinex to ACE: Issues in developing a new algorithm for unsupervised color equalization,” Journal of Electronic Imaging, vol. 13, pp. 75-84, (2004).


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.