Table 3 Comparison of metrics of different compression methods on each image.

From: Deep Learning Image Compression Method Based On Efficient Channel-Time Attention Module

Picture number

Compression method

PSNR(dB)

MS-SSIM

LPIPS

a1

Original Image

—

—

—

b1

JPEG

27.3

0.78

0.60

c1

JPEG2000

29.1

0.82

0.58

d1

WebP

28.5

0.80

0.54

e1

BPG

29.6

0.84

0.56

f1

ETAM

30.5

0.87

0.21

a2

Original Image

—

—

—

b2

JPEG

26.9

0.77

0.61

c2

JPEG2000

29.0

0.81

0.57

d2

WebP

28.4

0.79

0.53

e2

BPG

29.5

0.83

0.55

f2

ETAM

30.7

0.88

0.22

a3

Original Image

—

—

—

b3

JPEG

27.1

0.76

0.63

c3

JPEG2000

28.9

0.80

0.59

d3

WebP

28.3

0.78

0.55

e3

BPG

29.4

0.83

0.57

f3

ETAM

30.6

0.86

0.24

a4

Original Image

—

—

—

b4

JPEG

27.4

0.79

0.62

c4

JPEG2000

29.2

0.83

0.56

d4

WebP

28.6

0.80

0.52

e4

BPG

29.7

0.85

0.54

f4

ETAM

30.8

0.89

0.20

a5

Original Image

—

—

—

b5

JPEG

27.0

0.78

0.64

c5

JPEG2000

29.3

0.82

0.57

d5

WebP

28.7

0.81

0.53

e5

BPG

29.8

0.85

0.55

f5

ETAM

31.0

0.90

0.21