# Result for training DnCNN network to perform JPEG artefact removal.

The DnCNN network is trained on DIV2K dataset and tested on BSD test set. The report shows results of image restoration for images compressed with JPEG codec with a quality factor of 7.

To compare only selected loss functions, tick their names and click submit below. Click on any restored image to see its original version.

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Ground Truth
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Average metric score for the dataset:

PSNR: 24.4
SSIM: 0.655
NIQE: 6.625

PSNR: 25.71
SSIM: 0.716
NIQE: 5.734

PSNR: 25.64
SSIM: 0.705
NIQE: 5.901

PSNR: 25.39
SSIM: 0.709
NIQE: 5.345

PSNR: 25.75
SSIM: 0.714
NIQE: 4.91

PSNR: 25.49
SSIM: 0.717
NIQE: 5.715

PSNR: 25.52
SSIM: 0.72
NIQE: 5.665

PSNR: 25.43
SSIM: 0.725
NIQE: 5.956

PSNR: 25.54
SSIM: 0.711
NIQE: 5.998

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