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Development of Optimal Weight Algorithm for Efficient Application of Dual Tree Complex Wavelet Transform for Resolution Enhancement of Satellite Images


Affiliations
1 Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee 247 667, India
 

Wavelets have been intensively studied for resolution enhancement of images since the last decade. Subbands of decomposed wavelet images are interpolated and combined using equal weights to form resolutionenhanced images. Using different weights for subbands may provide different information content in the output image. Hence, the weights need to be optimized. Therefore, here a technique is proposed to obtain optimal weight for subbands in dual tree complex wavelet transform for resolution enhancement of satellite images. The proposed approach effectively selects the optimal weights of individual subbands automatically according to the variances of each subband, and achieves better image quality. The technique is applicable on different satellite data, like MODIS and PALSAR.

Keywords

DT-CWT, Optimal Weights Algorithm, Resolution Enhancement, Satellite Images, Wavelets.
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  • Development of Optimal Weight Algorithm for Efficient Application of Dual Tree Complex Wavelet Transform for Resolution Enhancement of Satellite Images

Abstract Views: 312  |  PDF Views: 77

Authors

Akanksha Garg
Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee 247 667, India
Deepak Murugan
Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee 247 667, India
Dharmendra Singh
Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee 247 667, India

Abstract


Wavelets have been intensively studied for resolution enhancement of images since the last decade. Subbands of decomposed wavelet images are interpolated and combined using equal weights to form resolutionenhanced images. Using different weights for subbands may provide different information content in the output image. Hence, the weights need to be optimized. Therefore, here a technique is proposed to obtain optimal weight for subbands in dual tree complex wavelet transform for resolution enhancement of satellite images. The proposed approach effectively selects the optimal weights of individual subbands automatically according to the variances of each subband, and achieves better image quality. The technique is applicable on different satellite data, like MODIS and PALSAR.

Keywords


DT-CWT, Optimal Weights Algorithm, Resolution Enhancement, Satellite Images, Wavelets.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi12%2F2034-2039