PSNR (Raw): 43.16SSIM (Raw): 0.960
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Denoising
Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.
<span style="color:grey; opacity: 0.6">( Image credit: Beyond a Gaussian Denoiser )</span>
논문
PSNR: 30.08
PSNR (Raw): 46.74SSIM (Raw): 0.986
PSNR (Raw): 42.29SSIM (Raw): 0.951
PSNR (Raw): 45.45SSIM (Raw): 0.975
LPIPS: 0.24
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 (sRGB): 40.18SSIM (sRGB): 0.961
PSNR (Raw): 41.98SSIM (Raw): 0.954
PSNR (sRGB): 39.84SSIM (sRGB): 0.954
PSNR (sRGB): 39.80SSIM (sRGB): 0.954
PSNR (sRGB): 39.89SSIM (sRGB): 0.955
PSNR (Raw): 41.95SSIM (Raw): 0.953
PSNR (sRGB): 39.26SSIM (sRGB): 0.953
PSNR (sRGB): 40.03SSIM (sRGB): 0.956
PSNR (sRGB): 40.05SSIM (sRGB): 0.963
PSNR (sRGB): 39.59SSIM (sRGB): 0.952
PSNR (sRGB): 38.06SSIM (sRGB): 0.942
PSNR (Raw): 41.95SSIM (Raw): 0.956
PSNR (sRGB): 39.37SSIM (sRGB): 0.951
PSNR (sRGB): 39.98SSIM (sRGB): 0.955
PSNR (sRGB): 39.38SSIM (sRGB): 0.952