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

Figure 10

Cameraman 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=8/6, 𝑘=0.005, and 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.2. (e) SO algorithm, 𝜆=1, 𝛼=0.25. (f) AA algorithm, 𝜆=390.

(a) Noisy: 𝐿=10, PSNR = 15.27

(b) Original

(c) 𝛼-TV: PSNR = 26.29, MAE = 7.14

(d) 𝑝-LA: PSNR = 26.03, MAE = 7.43

(e) SO: PSNR = 24.96, MAE = 8.36

(f) AA: PSNR = 24.25, MAE = 9.97