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

Figure 8

Cameraman 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=0.01, and 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.3. (e) SO algorithm, 𝜆=0.04, 𝛼=0.25. (f) AA algorithm, 𝜆=125.

(a) Noisy: 𝐿=1, PSNR = 5.26

(b) Original

(c) 𝛼-TV: PSNR = 20.81, MAE = 14.65

(d) 𝑝-LA: PSNR = 21.03, MAE = 13.94

(e) SO: PSNR = 14.15, MAE = 38.92

(f) AA: PSNR = 18.81, MAE = 22.14