Table 4 MSE and PSNR for ICA, DCTICA, Vences-GA, Wu-GA1, and Full-search
From: Intelligent fuzzy approach for fast fractal image compression
Method | Image name | |||||||
|---|---|---|---|---|---|---|---|---|
Lena | Pepper | F16 | Baboon | |||||
MSE computation | PSNR | MSE computation | PSNR | MSE computation | PSNR | MSE computation | PSNR | |
Full-search | 475,799,552 | 28.91 | 475,799,552 | 29.84 | 475,799,552 | 25.21 | 475,799,552 | 20.15 |
Vences-GA | 1,436,415 | 25.89 | 1,436,450 | 26.45 | 1,436,439 | 22.70 | 1,436,451 | 19.28 |
Wu-GA1 | 2,977,756 | 27.30 | 3,073,367 | 28.06 | 2,955,752 | 23.99 | 2,907,500 | 19.71 |
ICA | 2,043,976 | 27.70 | 2,050,406 | 28.42 | 2,028,660 | 24.35 | 2,028,030 | 19.80 |
DCTICA | 1,026,341 | 27.38 | 943,734 | 28.19 | 1,008,198 | 24.04 | 947,014 | 19.74 |