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

Figure 5

Aerial image (512×512). (a) Noisy image corrupted by speckle noise for 𝐿=1 in (8). (b) Original image. (c) Our algorithm by 𝛼-TV, 𝜎=2, 𝑘=0.03, and 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.4. (e) SO algorithm, 𝜆=0.1, 𝛼=0.25. (f) AA algorithm, 𝜆=25.

(a) Noisy: 𝐿=1, PSNR = 12.39

(b) Original

(c) 𝛼-TV: PSNR = 23.25, MAE = 12.00

(d) 𝑝-LA: PSNR = 23.47, MAE = 11.64

(e) SO: PSNR = 17.82, MAE = 25.44

(f) AA: PSNR = 22.34, MAE = 13.35