期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2015
卷号：6
期号：3
页码：43
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The present paper, proposes an efficient denoising algorithm which works well for images corrupted withGaussian and speckle noise. The denoising algorithm utilizes the alexander fractional integral filter whichworks by the construction of fractional masks window computed using alexander polynomial. Prior to theapplication of the designed filter, the corrupted image is decomposed using symlet wavelet from which onlythe horizontal, vertical and diagonal components are denoised using the alexander integral filter.Significant increase in the reconstruction quality was noticed when the approach was applied on thewavelet decomposed image rather than applying it directly on the noisy image. Quantitatively the resultsare evaluated using the peak signal to noise ratio (PSNR) which was 30.8059 on an average for imagescorrupted with Gaussian noise and 36.52 for images corrupted with speckle noise, which clearlyoutperforms the existing methods.
关键词：Image Denoising; Wavelet Transform; Fractional Calculus; Fractional Integral Filtering
