A Novel Algorithm to Remove Gaussian Noise in an Image
S. Shaik Majeeth, C. Nelson Kennedy Babu · 2017
A new denoising algorithm is proposed to restore the image corrupted by Gaussian noise. The proposed algorithm combines bilateral filter and its method noise thresholding using dual tree complex wavelet transform. The bilateral filter removes the noise as well as some details of the image. These details are estimated accurately in the wavelet domain with minimum mean square error so that the edges and other features of the original image are preserved properly. The sum of the bilateral filter output and the detail image will give the final denoised image. Experimental results show that the proposed algorithm is superior compared to other existing filtering algorithm in terms of visual quality and has very good PSNR, SSIM and UIQI index values.