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Comparative Analysis on Aerial Image Enhancement Techniques


Affiliations
1 Remote Sensing and Wireless Sensor Networks, Centre for Excellence in Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641 112, Tamil Nadu, India
2 Centre for Excellence in Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641 112, Tamil Nadu, India
 

In this paper a comparative analysis on various aerial image enhancement techniques are carried out with that of wavelet based enhancement technique based on certain quality assessments. Paper illustrates wavelet based enhancement algorithm performed in an intelligent manner and the obtained result is compared with other conventional enhancement techniques. From the comparative analysis performed using mean square error, peak signal to noise ratio and structured similarity index measurement the wavelet based enhancement technique is found to give better enhancement result. Since the algorithms proposed are applicable to color images this work can be further extended to other applications like feature extractions of roads and buildings, medical image segmentation and video streaming.

Keywords

Aerial Image, Color Restoration, Enhancement, Histogram Equalization, Mean Square Error, Peak Signal to Noise Ratio, Structural Similarity, Wavelet.
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  • Comparative Analysis on Aerial Image Enhancement Techniques

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Authors

S. Sabarinath
Remote Sensing and Wireless Sensor Networks, Centre for Excellence in Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641 112, Tamil Nadu, India
K. P. Soman
Centre for Excellence in Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641 112, Tamil Nadu, India

Abstract


In this paper a comparative analysis on various aerial image enhancement techniques are carried out with that of wavelet based enhancement technique based on certain quality assessments. Paper illustrates wavelet based enhancement algorithm performed in an intelligent manner and the obtained result is compared with other conventional enhancement techniques. From the comparative analysis performed using mean square error, peak signal to noise ratio and structured similarity index measurement the wavelet based enhancement technique is found to give better enhancement result. Since the algorithms proposed are applicable to color images this work can be further extended to other applications like feature extractions of roads and buildings, medical image segmentation and video streaming.

Keywords


Aerial Image, Color Restoration, Enhancement, Histogram Equalization, Mean Square Error, Peak Signal to Noise Ratio, Structural Similarity, Wavelet.



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i24%2F116931