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Description: An adaptive image denoising technique based on
the nonlocal means (NL-means) algorithm is investigated in this
research. The proposed method first employs the singular value
decomposition (SVD) method and the K-means clustering (Kmeans)
technique for robust block classification in noisy images.
Then, the local window is adaptively adjusted to match the local
property of a block. Finally, a rotated block matching algorithm
is adopted for better similarity matching. Experiment results are
given to demonstrate the superior denoising performance of the
proposed adaptive
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