SAR Image Compression Using Multiwavelet and Soft-thresholding
A. Wang, Y. Zhang, Yu Gu · 2006
Synthetic aperture radar (SAR) images are corrupted by multiplicative speckle noise which limits the performance of the classical coder/decoder algorithm in spatial domain. The relatively new transform of multiwavelets can possess desirable features simultaneously, such as orthogonality and symmetry, while scalar wavelets cannot. In this paper, we propose a compression scheme combing with speckle noise reduction within the multiwavelet framework. Comparing with classical set partitioning in hierarchical trees (SPIHT) algorithm, our method achieves favorable PSNR and performs superior speckle noise reduction.