Combined Diffusion Scheme and Sharpening Filter for Digital Image Denoising
T. S. Anu

T. S. Anu, Department of Electronics and Communication Engineering, Government Engineering College, Thrissur (Kerala) India.
Manuscript received on 18 October 2018 | Revised Manuscript received on 27 October 2018 | Manuscript published on 30 October 2018 | PP: 1-6 | Volume-8 Issue-1, October 2018 | Retrieval Number: A5462108118/18©BEIESP
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Abstract: Nowadays, digital images play an important role in real life applications as well as in the area of research and technology. Most of these images are degraded due to the inaccuracy or limitations of the capturing, transmission and storage devices. Removal of noise from images is still a challenging task for many researchers because there is always a trade off between noise removal and fine edge preservation. The noisy image is decomposed into different frequency bands using Stationary Wavelet Transform (SWT). The noise in the image is considered to be Gaussian. The detail coefficients undergo threes holding using mean filter and wavelet coefficient magnitude. Inverse Stationary Wavelet Transform (ISWT) is performed. The resultant image is passed through a sharpening filter to get the denoised image that highlights edges and fine details in an image.
Keywords: Denoising, Stationary Wavelet Transform, Thresholding, Sharpening Filter.

Scope of the Article: Image Processing