Remote Sensing Image Enhancement Based on Wavelet Transformation

Ying Zhao; Ye Cai Guo

doi:10.4028/www.scientific.net/AMM.198-199.223

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Remote Sensing Image Enhancement Based on Wavelet...

Remote Sensing Image Enhancement Based on Wavelet Transformation

Abstract:

The contrast of remote sensing images is very low, which include various noises. In order to make full used of remote sensing image information extraction and processing, the original image should have to be enhanced. In this paper the enhancement algorithm based on the biothogonal wavelet transform is proposed. Firstly, we have to eliminate the beforehand noise, and then take advantage of the non-linear wavelet transform to enhanced low-frequency and high- frequency coefficient respectively. Finally, the new picture is reconstruct by the transformed low-frequency and high-frequency coefficient. The efficiency of the proposed algorithm was proved by the theoretical analysis and computer simulations.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

223-226

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.223

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Online since:

September 2012

Authors:

Ying Zhao, Ye Cai Guo

Keywords:

Biothogonal Wavelet Transform, Image Enhancement, Nonlinear, Remote Image

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