Dana Berman
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View article: SVNR: Spatially-variant Noise Removal with Denoising Diffusion
SVNR: Spatially-variant Noise Removal with Denoising Diffusion Open
Denoising diffusion models have recently shown impressive results in generative tasks. By learning powerful priors from huge collections of training images, such models are able to gradually modify complete noise to a clean natural image v…
View article: SQUID- Stereo Quantitative Underwater Image Dataset
SQUID- Stereo Quantitative Underwater Image Dataset Open
Underwater Single Image Color Restoration SQUID- Stereo Quantitative Underwater Image Dataset Dana Berman, Deborah Levy, Shai Avidan, Tali Treibitz Abstract Underwater images suffer from color distortion and low contrast, because light is …
View article: SQUID- Stereo Quantitative Underwater Image Dataset
SQUID- Stereo Quantitative Underwater Image Dataset Open
Underwater Single Image Color Restoration SQUID- Stereo Quantitative Underwater Image Dataset Dana Berman, Deborah Levy, Shai Avidan, Tali Treibitz Abstract Underwater images suffer from color distortion and low contrast, because light is …
View article: Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset Open
Underwater images suffer from color distortion and low contrast, because light is attenuated while it propagates through water. Attenuation under water varies with wavelength, unlike terrestrial images where attenuation is assumed to be sp…