Fig 1.
The flowchart of AMF algorithm.
Fig 2.
The flowchart of BM3D algorithm.
Fig 3.
The proposed algorithm flowchart.
Fig 4.
Test images used in this paper.
Table 1.
Comparison of classifiers for noisy “House” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 2.
Comparison of classifiers for noisy “Boat” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 3.
Comparison of classifiers for noisy “Barbara” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 4.
Comparison of PSNR and SSIM for noisy “House” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 5.
Comparison of PSNR and SSIM for noisy “Boat” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 6.
Comparison of PSNR and SSIM for noisy “Barbara” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 7.
Comparison of Time (seconds) for noisy “House” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 8.
Comparison of Time (seconds) for noisy “Boat” with σ = 15,20,25,30&p0 = 0.2,0.3.
Table 9.
Comparison of Time (seconds) for noisy “Barbara” with σ = 15,20,25,30&p0 = 0.2,0.3.
Fig 5.
Results of different algorithm in denoised “House” with σ = 20&p0 = 0.2: (a) Mixed noise image; (b) NLMNF; (c) CBNLMF; (d) 2013 Zhou’s; (e) 2016 Zhou’s; (f) 2017 Yam’s; (g) Proposed; (h) Original image.
Fig 6.
Results of different algorithm in denoised “Boat” with σ = 20&p0 = 0.2: (a) Mixed noise image; (b) NLMNF; (c) CBNLMF; (d) 2013 Zhou’s; (e) 2016 Zhou’s; (f) 2017 Yam’s; (g) Proposed; (h) Original image.
Fig 7.
Results of different algorithm in denoised “Barbara” with σ = 20&p0 = 0.2: (a) Mixed noise image; (b) NLMNF; (c) CBNLMF; (d) 2013 Zhou’s; (e) 2016 Zhou’s; (f) 2017 Yam’s; (g) Proposed; (h) Original image.