Efficient techniques for denoising of speckle and highly corrupted impulse noise images

Abstract

In this paper, different types of speckle noise and impulse noise removal techniques are presented. Dual Tree complex wavelet transform because of having time and frequency resolution (MRA) and also of its shift invariance property works well in removing the speckle noise. Because of adaptive nature of mask size depending on the noise quantity in the image, adaptive median filter works better in removing the salt and pepper noise. To show the performance of DT-CWT speckle filters like median filter, Lee filter, Frost and Kuan filters and DWT are considered. Adaptive median filter is compared with other filters and also the transformations. The superiority of Dual Tree Complex Wavelet Transform in removing the Speckle noise and Adaptive Median filter in removing the Speckle noise in images are presented. Graphs are drawn between the input PSNR and output PSNR both for speckle noise removal techniques and also impulse noise removal techniques.