Denoising of medical imagery using a third-order statistical approach
Samuel P. Kozaitis, T. Young · 2009
We investigated the denoising of medical imagery using a nonseparable third-order statistical approach. By using an efficient algorithm, we were to keep the execution time low. We performed experiments with medical imagery corrupted by nostationary Gaussian noise. We found that our approach showed improved results when compared to other thresholding methods.