Image Denoising via Nonlinear Hybrid Diffusion

Figure 5

Synthetic image (128×128). (a) Noisy image corrupted by Gaussian noise for 𝜎=50. (b) Original image. (c) Our algorithm by AOS, 𝑘=0.02, 𝜏=2 (11 steps). (d) Our algorithm by PMS, 𝜏=0.25 (115 steps). (e) PM algorithm, 𝐾=7, 𝜏=0.25 (130 steps). (f) TV algorithm, 𝜏=0.1 (600 steps).

(a) Noisy: 𝜎= 50, PSNR = 14.11

(b) Original

(c) AOS: PSNR = 32.94, MAE = 3.48

(d) PMS: PSNR = 33.72, MAE = 3.30

(e) PM: PSNR = 31.90, MAE = 3.66

(f) TV: PSNR = 31.36, MAE = 4.88