Table 1 The performance of different SADMM-type algorithms in terms of PSNR and SSIM
Tolerance | Images | Peppers | Lena | Baboon | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
PSNR (dB) | Time (sec.) | Iter. | PSNR (dB) | Time (sec.) | Iter. | PSNR (dB) | Time (sec.) | Iter. | ||
10−6 | ADMM | 30.6 | 205 | 1,420 | 30.9 | 246 | 1,725 | 22.5 | 274 | 1,941 |
FSR-ADMM |
|
|
|
|
|
|
|
|
| |
FSR-SADMM |
|
|
|
|
|
|
|
|
| |
10−5 | ADMM | 30.6 | 80.7 | 566 | 31 | 94.3 | 667 | 22.5 | 111 | 783 |
FSR-ADMM |
|
|
|
|
|
|
|
|
| |
FSR-SADMM |
|
|
|
|
|
|
|
|
| |
10−4 | ADMM | 30.6 | 21 | 150 | 31.2 | 19.8 | 136 | 22.6 | 46.8 | 333 |
FSR-ADMM |
|
|
|
|
|
|
|
|
| |
FSR-SADMM |
|
|
|
|
|
|
|
|
| |
- The
and 
for each algorithm are indicated by 
and 
, respectively, with respect to r = 0.6.
and 
for each algorithm are indicated by 
and 
, respectively, with respect to r = 0.6.