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

Figure 9

Cameraman image (512×512). (a) Noisy image corrupted by speckle noise for 𝐿=4 in (8). (b) Original image. (c) Our algorithm by 𝛼-TV, 𝜎=2, 𝑘=0.005, and 𝜏=0.05. (d) Our algorithm by 𝑝-LA, 𝑝_𝑈=1.2. (e) SO algorithm, 𝜆=0.2, 𝛼=0.25. (f) AA algorithm, 𝜆=240.

(a) Noisy: 𝐿=4, PSNR = 11.23

(b) Original

(c) 𝛼-TV: PSNR = 24.22, MAE = 8.88

(d) 𝑝-LA: PSNR = 24.10, MAE = 9.18

(e) SO: PSNR = 21.61, MAE = 14.64

(f) AA: PSNR = 21.91, MAE = 14.25