PSNR (Raw): 41.02SSIM (Raw): 0.948
Papers with Code · CC BY-SA 4.0
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 (Raw): 36.25SSIM (Raw): 0.858
PSNR (Raw): 40.92SSIM (Raw): 0.947
PSNR (Raw): 39.60SSIM (Raw): 0.938
PSNR: 33.3
PSNR (Raw): 35.80SSIM (Raw): 0.867
PSNR (Raw): 40.22SSIM (Raw): 0.938
PSNR (Raw): 39.25SSIM (Raw): 0.931
PSNR (Raw): 43.43SSIM (Raw): 0.954
SSIM (sRGB): 0.957Average PSNR: 39.50
PSNR (Raw): 40.39
PSNR: 8-10dB
PSNR (Raw): 39.34SSIM (Raw): 0.932
SSIM (sRGB): 0.973
PSNR (Raw): 39.44SSIM (Raw): 0.931
PSNR (sRGB): 38.71SSIM (sRGB): 0.951
PSNR (sRGB): 39.46SSIM (sRGB): 0.957
PSNR (sRGB): 30.78SSIM (sRGB): 0.801
PSNR (sRGB): 38.95SSIM (sRGB): 0.952
PSNR (sRGB): 39.28SSIM (sRGB): 0.956