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Table 2 The SSIM results of the denoised images by different denoising schemes

From: A wavelet denoising approach based on unsupervised learning model

Image Method σ=10 σ=25 σ=50 σ=70 σ=100
Barbara Wavelet thresholding 0.8155 0.6022 0.4774 0.4185 0.2992
  TV 0.8283 0.5996 0.5035 0.4997 0.4615
  K-SVD 0.8996 0.7991 0.6410 0.5355 0.4453
  BM3D 0.9112 0.8342 0.7193 0.6388 0.5390
  Proposed approach 0.9608 0.9030 0.7938 0.7104 0.5977
House Wavelet thresholding 0.7100 0.5564 0.5012 0.4368 0.3518
  TV 0.8125 0.7503 0.6783 0.6423 0.5865
  K-SVD 0.8446 0.7555 0.6667 0.5856 0.4970
  BM3D 0.8687 0.7755 0.7120 0.6628 0.5914
  Proposed approach 0.9536 0.9044 0.8362 0.7738 0.6721
Flinstones Wavelet thresholding 0.8088 0.6614 0.4880 0.4151 0.3325
  TV 0.8531 0.7568 0.5534 0.4814 0.4591
  K-SVD 0.8697 0.7903 0.6935 0.6094 0.4830
  BM3D 0.8686 0.8015 0.7272 0.6713 0.5920
  Proposed approach 0.9391 0.8786 0.7978 0.7311 0.6294
Bridge Wavelet thresholding 0.8492 0.6197 0.3855 0.3141 0.2718
  TV 0.8588 0.6824 0.5184 0.4204 0.3207
  K-SVD 0.8813 0.6770 0.4642 0.3864 0.3271
  BM3D 0.8900 0.7013 0.5161 0.4402 0.3710
  Proposed approach 0.9252 0.7870 0.6394 0.5618 0.4783
Fingerprint Wavelet thresholding 0.9494 0.8462 0.6506 0.5507 0.4125
  TV 0.9460 0.8620 0.7780 0.7084 0.3747
  K-SVD 0.9647 0.8919 0.7411 0.5892 0.4160
  BM3D 0.9636 0.8950 0.8043 0.7432 0.6600
  Proposed approach 0.9701 0.9112 0.8276 0.7678 0.6690
  1. For each test setting, five results are provided: wavelet thresholding, TV, K-SVD, BM3D, and our proposed model. The highest SSIM values (best denoising results) are given in bold