Poisson Noise Removal in Biomedical Imagesusing Non-Linear Techniques
Citations
30 citations
Cites background from "Poisson Noise Removal in Biomedical..."
...Jisha and Suresh Kumar [9] proposed an algorithm for Poisson noise reduction in medical images....
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5 citations
References
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"Poisson Noise Removal in Biomedical..." refers background or methods in this paper
...It is effective in sparse representation of sharp edges and fine curves [5]....
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...PERFORMANCE ANALYSIS To measure the performance of Thresholding and Null Hypothesis testing, Peak Signal to Noise Ratio and Universal Image Quality Index [5] are used....
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...PSNR and Universal Image Quality Index were used to evaluate the performance of proposed methods....
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...We have analysed the denoised images using two mathematically defined measures viz Peak Signal to Noise Ratio and Universal Image Quality Index [3] for measuring the effectiveness of using the techniques....
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...Keywords: Multi-Scale Variance Stabilizing Transform, Fast Discrete Curvelet Transform, Thresholding, Null Hypothesis, Signal to Noise Ratio,Universal Image Quality Index....
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36 citations
"Poisson Noise Removal in Biomedical..." refers methods in this paper
...There are two separate Discrete Curvelet Transform (DCT) algorithms [4]....
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7 citations
"Poisson Noise Removal in Biomedical..." refers background or methods in this paper
...FDCT [1]-[2] is a second generation curvelet transform which is a multi resolution method....
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...MS-VST [1] stabilizes the variance in Poisson Noise affected images and Gaussianize it to an extent....
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1 citations
"Poisson Noise Removal in Biomedical..." refers methods in this paper
...FDCT [1]-[2] is a second generation curvelet transform which is a multi resolution method....
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