PSNR: 35.42
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): 43.36SSIM: 0.961
Average PSNR: 35.64
PSNR (Raw): 40.47SSIM: 0.926
PSNR (Raw): 43.16SSIM: 0.960
PSNR: 40.78SSIM: 0.986
PSNR (Raw): 42.06SSIM: 0.955
PSNR (Raw): 38.89SSIM: 0.929
PSNR (Raw): 41.95SSIM: 0.963
Average PSNR: 35.18
PSNR (Raw): 42.29SSIM: 0.951
PSNR (Raw): 36.67SSIM (Raw): 0.915
PSNR: 27.67
ODRMSE: 0.0711
PSNR (Raw): 36.03SSIM (Raw): 0.909