PSNR: 35.42
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Image Denoising
Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing, and can reduce image quality and make it difficult to interpret. Image denoising techniques aim to restore an image to its original quality by reducing or removing the noise, while preserving the important features of the image.
<span style="color:grey; opacity: 0.6">( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )</span>
논문
PSNR: 40.78SSIM: 0.986
Average PSNR: 35.64
Average PSNR: 35.18
PSNR (sRGB): 39.56SSIM (sRGB): 0.956
PSNR (sRGB): 39.58SSIM (sRGB): 0.955
PSNR (sRGB): 40.594SSIM (sRGB): 0.966
PSNR (Raw): 36.82
PSNR (sRGB): 39.88SSIM (sRGB): 0.956
PSNR (Raw): 36.67SSIM (Raw): 0.915
PSNR (sRGB): 39.84SSIM (sRGB): 0.954
PSNR (sRGB): 39.80SSIM (sRGB): 0.954
PSNR (sRGB): 39.89SSIM (sRGB): 0.955
PSNR (Raw): 32.29SSIM: 0.801
PSNR: 27.67
PSNR (sRGB): 40.03SSIM (sRGB): 0.956
PSNR (sRGB): 40.05SSIM (sRGB): 0.963
ODRMSE: 0.0711
PSNR (sRGB): 39.59SSIM (sRGB): 0.952
PSNR (Raw): 36.03SSIM (Raw): 0.909
PSNR (sRGB): 39.37SSIM (sRGB): 0.951
PSNR (sRGB): 39.98SSIM (sRGB): 0.955
PSNR (sRGB): 39.38SSIM (sRGB): 0.952