An Alternative Variational Framework for Image Denoising

Figure 1

Synthetic image (300×300). (a) Original image. (b) Noisy image corrupted by Gaussian noise for 𝜎=30. (c) PM algorithm, 𝐾=4, 𝜏=0.25 (356 steps). (d) TV algorithm, 𝜏=0.25 (205 steps). (e) Our method, 𝐾=0.01,  𝜏=5 (65 steps). (f) D-𝛼-PM algorithm, 𝑘=1,  𝜏=0.25, (40 steps).

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