PSNR: 37.93
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 (sRGB): 39.70SSIM (sRGB): 0.961
PSNR: 32.43
PSNR (sRGB): 40.39SSIM (sRGB): 0.964
PSNR (sRGB): 39.52SSIM (sRGB): 0.957
PSNR (sRGB): 39.47SSIM (sRGB): 0.957
Average PSNR: 39.64SSIM (sRGB): 0.952
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
PSNR: 0.0061±0.0014SSIM: 0.9866±0.0031
PSNR: 34.40
Average PSNR (dB): 33.92
PSNR (sRGB): 39.99SSIM (sRGB): 0.958
PSNR: 35.95
PSNR (sRGB): 40.35SSIM (sRGB): 0.972
PSNR (sRGB): 39.72SSIM (sRGB): 0.959
PSNR (sRGB): 40.07SSIM (sRGB): 0.960
PSNR (sRGB): 39.96SSIM (sRGB): 0.960
PSNR: 37.38
PSNR (sRGB): 39.71SSIM (sRGB): 0.958
PSNR/SSIM: 25.40/0.6645
PSNR: 30.8
PSNR (sRGB): 40.02SSIM (sRGB): 0.960
Average: 84.61
PSNR (sRGB): 39.72SSIM (sRGB): 0.959
PSNR (sRGB): 40.30SSIM (sRGB): 0.961
PSNR (sRGB): 40.08SSIM (sRGB): 0.962
PSNR: 81
PSNR: 37.57
PSNR: 33.65
PSNR (sRGB): 39.89SSIM (sRGB): 0.960
PSNR: 38.4