Table 2 PSNR and MSSIM for the test images.
From: A nonconvex \(\hbox{TV}_q-l_1\) regularization model and the ADMM based algorithm
Images | Noise level | PSNR | MSSIM |
|---|---|---|---|
Cameraman | \(\sigma =0.005,\;d=0.02\) | 19.8379 | 0.7021 |
Cameraman | \(\sigma =0.010,\;d=0.03\) | 17.5835 | 0.6251 |
Cameraman | \(\sigma =0.015,\;d=0.04\) | 16.3325 | 0.5573 |
Pepper | \(\sigma =0.010,\;d=0.03\) | 17.7076 | 0.6285 |
House | \(\sigma =0.010,\;d=0.03\) | 17.7013 | 0.6274 |
Boats | \(\sigma =0.010,\;d=0.03\) | 17.6472 | 0.6201 |
Man | \(\sigma =0.010,\;d=0.03\) | 17.7343 | 0.6342 |
