Directional lifting wavelet transform based SAR Image Compression
B Dheepa · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Data compression technology is an effective way to alleviate the pressure of transmission and storage on SAR system.The complex SAR image consists of amplitude and phase, the first-level image data of the SAR system.The information fidelity in SAR image is crucial to some special applications, such as interferometers and moving target detection.The objective of this scheme is to assess the potential of the Contourlet Transform (CT) in relation to the issue of noise removal in SAR intensity images.The contourlet transform can be seen as a filter bank implementation of the curvelet transform.This novel approach to non linear approximation aims at providing a better representation of the geometrical content of natural images.Recently, a stationary version has been proposed that preserves translation invariance.We compare the CT performances against the curvelet transform and the stationary wavelet transform for two different noise reduction techniques.Results indicate a better compromise between noise removals and also the proposed scheme significantly outperforms DLWT based scheme in terms of higher PSNR and compression ratio with better representation of SAR image.