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

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.