Speckle Noise Reduction based on Discrete Wavelet Transform

Medical images or ultra sound images are typically used in the medical fields for lots of purposes. Many problems occurred in the medical images. Main problem related to this imaging technique is introduction of speckle noise which blurs or degrades the superiority of the image. Speckle noise makes the image indistinct which is tough to see clearly. There have been several techniques to de-noise the speckle noise from the images. The main goal of this thesis is that this proposed DWT+Wiener filter technique is better denoising technique than the other traditional techniques such as: wiener filter, median filter, homomorphic wiener filter and homomorphic median filter to remove the speckle noise from the image. It gives the better PSNR (peak signal to noise ratio) value than the other filters. This shows the better denoisy image or clear image than the other traditional filter techniques.