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