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

Figure 7

Aerial image (512×512). (a) Noisy image corrupted by speckle noise for 𝐿=10 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=1.2, 𝛼=0.25. (f) AA algorithm, 𝜆=130.

(a) Noisy: 𝐿=10, PSNR = 22.45

(b) Original

(c) 𝛼-TV: PSNR = 27.92, MAE = 7.12

(d) 𝑝-LA: PSNR = 28.18, MAE = 6.98

(e) SO: PSNR = 27.27, MAE = 7.42

(f) AA: PSNR = 26.04, MAE = 8.13