Hybrid Threshold Technique for Speckle Noise Reduction using wavelets for Grey scale images
Manish Kumar Goyal, Gianetan Singh Sekhon · 2011
Image de-noising has become an essential task for many researchers, in Image processing. Mainly ultrasound images contain speckle noise which degrades the quality of the images. Eliminating such kind of noise is an important preprocessing task. In this paper, a hybrid method is proposed for removing speckle noise from the image. Proposed method consist of two wavelet thresholding techniques: first technique by using statistical method and second technique based on bayes threshold. Result of both method is averaged and apply threshold for soft thresholding.for post processing wiener filter is used. Experimental results on several test images were taken where; proposed method yields significantly better image quality and better Peak Signal to Noise Ratio (PSNR) on high noise. Quantitative and qualitative comparisons of the results obtained by the proposed method with the results achieved from the other speckle noise reduction techniques demonstrate its better performance for speckle reduction.