A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal

Figure 6

Aerial image (512×512). (a) Noisy image corrupted by speckle noise for 𝐿=4 in (8). (b) Original image. (c) Our algorithm by 𝛼-TV, 𝜎=2, 𝑘=0.015, and 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.4. (e) SO algorithm, 𝜆=0.3, 𝛼=0.25. (f) AA algorithm, 𝜆=120.

(a) Noisy: 𝐿=4, PSNR = 18.39

(b) Original

(c) 𝛼-TV: PSNR = 25.82, MAE = 8.95

(d) 𝑝-LA: PSNR = 26.16, MAE = 8.81

(e) SO: PSNR = 24.00, MAE = 11.05

(f) AA: PSNR = 24.20, MAE = 10.30