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

Figure 3

Synthetic image (300×300) (a) Noisy image corrupted by speckle noise for 𝐿=4 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=1.3. (e) SO algorithm, 𝜆=0.7, 𝛼=0.25. (f) AA algorithm, 𝜆=150.

(a) Noisy: 𝐿=4, PSNR = 2.52

(b) Original

(c) 𝛼-TV: PSNR = 23.86, MAE = 1.27

(d) 𝑝-LA: PSNR = 23.14, MAE = 1.43

(e) SO: PSNR = 15.18, MAE = 6.15

(f) AA: PSNR = 20.14, MAE = 2.94