Image Denoising via Nonlinear Hybrid Diffusion

Figure 4

Synthetic image (128×128). (a) Noisy image corrupted by Gaussian noise for 𝜎=35. (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= 35, PSNR = 17.19

(b) Original

(c) AOS: PSNR = 35.43, MAE = 2.75

(d) PMS: PSNR = 36.61, MAE = 2.43

(e) PM: PSNR = 34.81, MAE = 2.76

(f) TV: PSNR = 34.05, MAE = 3.65