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

Figure 2

Synthetic image (300×300). (a) Noisy image corrupted by speckle noise for 𝐿=1 in (8). (b) Original image. (c) Our algorithm by 𝛼-TV, 𝜎=2, 𝑘=0.05, and 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.3. (e) SO algorithm, 𝜆=0.1, 𝛼=0.25. (f) AA algorithm, 𝜆=50.

(a) Noisy: 𝐿=1, PSNR = −3.46

(b) Original

(c) 𝛼-TV: PSNR = 19.67, MAE = 2.45

(d) 𝑝-LA: PSNR = 19.76, MAE = 2.51

(e) SO: PSNR = 4.14, MAE = 23.94

(f) AA: PSNR = 16.33, MAE = 4.50