Table 3 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 | 1,148,135 | 25.62 | 1,148,159 | 26.30 | 1,148,169 | 22.47 | 1,148,148 | 19.25 |
Wu-GA1 | 2,313,986 | 27.15 | 2,376,360 | 27.91 | 2,357,251 | 23.91 | 2,314,056 | 19.68 |
ICA | 1,625,065 | 27.39 | 1,621,543 | 28.26 | 1,601,334 | 24.27 | 1,583,434 | 19.76 |
DCTICA | 806,667 | 27.28 | 742,224 | 28.08 | 790,945 | 24 | 746,372 | 19.68 |