Aluminum-Copper alloys, Corrosion, acidic medium, alkali medium.

This paper suggested a de-noising algorithm used in grayscale images. As long as the noisy image does not give desired view of its features, is required. The based on block matching and wavelet transformation. Euclidean distance for blocks similarity exploited, which demonstrate more accurate finding similar depending soft thresholding. Regarding transform, combine hard thresholding performed HH LH sub-bands while LL HL decomposed Three types noise encountered: Gaussian noise, salt & pepper speckle noise. measurements are employed to evaluate our work MSE PSNR SSIM. Finally comparison results shows that method outperforms traditional using or