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. Author manuscript; available in PMC: 2009 Nov 27.
Published in final edited form as: IEEE Trans Image Process. 2009 May 27;18(10):2221–2229. doi: 10.1109/TIP.2009.2024064

Fig. 7.

Fig. 7

From left to right: the original “noisy” volume, the denoising result obtained with the OBNLM filter with h = 8 and μ1 = 0.6 and the removed noise component. The edge preservation of the OBNLM is visually appreciated by inspecting the removed noise component which contains few structures. Moreover, the level of noise estimated for the dark areas (hepatic vessels) and the gray areas (hepatic tissues) demonstrates the relevance of the signal-dependent modeling.