Average PSNR: 13.425SSIM: 0.636LPIPS: 0.362
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Image Enhancement
Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.
<span class="description-source">Source: A Comprehensive Review of Image Enhancement Techniques </span>
논문
PSNR: 30.11SSIM: 0.920
PSNR on proRGB: 24.61SSIM on proRGB: 0.918
PSNR on proRGB: 25.49SSIM on proRGB: 0.926
PSNR: PSNR Values
Average PSNR: 28.80SSIM: 0.884LPIPS: 0.069
PSNR: 22.728SSIM: 0.863
PSNR on proRGB: 24.2SSIM on proRGB: 0.88
PSNR on proRGB: 23.93SSIM on proRGB: 0.903
PSNR: 23.18SSIM: 0.8697
Average PSNR: 27.83SSIM: 0.877LPIPS: 0.091
PSNR: 30.03SSIM: 0.893
PSNR on proRGB: 25.69
PSNR on proRGB: 25.21SSIM on proRGB: 0.922
PSNR: 20.205SSIM: 0.769
PSNR: 22.173SSIM: 0.851
Average PSNR: 29.185SSIM: 0.872
PSNR: 26.77SSIM: 0.871FSIM: 0.914
PSNR: 27.75SSIM: 0.895
PSNR on proRGB: 25.46
PSNR on proRGB: 25.53SSIM on proRGB: 0.928
PSNR on proRGB: 25.98SSIM on proRGB: 0.957PSNR on sRGB: 24.94SSIM on sRGB: 0.907
PSNR on proRGB: 25.49SSIM on proRGB: 0.924
PSNR on proRGB: 25.47SSIM on proRGB: 0.921
LPIPS: 0.06PSNR: 21.24DeltaE: 11.25SSIM: 0.89
PSNR: 29.28SSIM: 0.917
PSNR: 20.34SSIM: 0.844