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

Figure 4

Synthetic image (300×300) (a) Noisy image corrupted by speckle noise for 𝐿=10 in (8). (b) Original image. (c) Our algorithm by 𝛼-TV, 𝜎=2, 𝑘=0.05, 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.2. (e) SO algorithm, 𝜆=0.7, 𝛼=0.25. (f) AA algorithm, 𝜆=240.

(a) Noisy: 𝐿=10, PSNR = 6.52

(b) Original

(c) 𝛼-TV: PSNR = 26.37, MAE = 0.92

(d) 𝑝-LA: PSNR = 25.68, MAE = 0.96

(e) SO: PSNR = 21.00, MAE = 2.84

(f) AA: PSNR = 23.94, MAE = 1.49