Table 2 Quantitative evaluation of ITI translations and baseline calibrations

From: A deep learning framework for instrument-to-instrument translation of solar observation data

 

FID

PSNR [dB]

SSIM

CC

Instruments

baseline

ITI

baseline

ITI

baseline

ITI

baseline

ITI

SOHO/EIT  → SDO/AIA 171 Å

38.2

4.1

24.6

25.4

0.69

0.69

0.91

0.91

SOHO/EIT  → SDO/AIA 193 Å

28.0

5.9

26.6

26.6

0.80

0.79

0.90

0.90

SOHO/EIT  → SDO/AIA 211 Å

2.9

1.0

24.7

26.9

0.73

0.75

0.82

0.85

SOHO/EIT  → SDO/AIA 304 Å

33.6

7.6

21.6

24.5

0.52

0.41

0.91

0.90

SOHO/MDI  → SDO/HMI mag.

25.3

5.2

41.7

41.7

0.95

0.96

0.37

0.33

SDO/HMI cont.  → Hinode/BFI

29.0

11.8

22.4

25.6

0.74

0.76

0.86

0.88

STEREO/EUVI  → SDO/AIA 171 Å

11.0

6.2

STEREO/EUVI  → SDO/AIA 193 Å

32.4

23.7

STEREO/EUVI  → SDO/AIA 211 Å

17.5

6.6

STEREO/EUVI  → SDO/AIA 304 Å

7.7

6.4

KSO LQ  → KSO HQ Hα

4.8

2.6

23.0

24.8

0.48

0.46

0.33

0.34

  1. The FID is computed between the full test sets. The PSNR, SSIM, and CC are computed between paired samples. For the FID lower values indicate a better performance, while for PSNR, SSIM and CC a higher score indicates a higher image quality. Bold values highlight the best performance metrics.