Speckle Noise Reduction of Synthetic Aperture Radar (sar) Image Using Multi-resolution Technique

Synthetic Aperture Radar (SAR) images are contaminated by multiplicative speckle noise, a chaotic phenomenon that results from coherent energy imaging; and that obscures the scene complex and strongly reduces the possibility to observe objects. Multiplicative speckle noise limits the classical coder/decoder algorithm in spatial domain. Various scalar wavelet based techniques so far developed for removal various noise but; these wavelet transforms cannot posses all desirable features simultaneously. Relatively new class of wavelets called Multiwavelet; are new addition to the body of wavelet theory. Realizable as matrix –valued filter banks leading to wavelet basis, were introduced and which are able to posses all desirable properties simultaneously and overcomes the limitations of scalar wavelets. In this paper, we proposed a de-noising scheme of speckle noise removal within the Multiwavelet framework. Newly proposed method achieves favorable PSNR and performs superior speckle noise reduction.