Skip to content

Weather image noise (rain, snow, haze) removal with classificatio

Notifications You must be signed in to change notification settings

jh27kim/Classification-prior-to-Restoration

Repository files navigation

Classification-prior-to-Restoration

Weather image noise (rain, snow, haze) removal with classification

Classification: Mobilenet Denoising: U-Net

Overall Architecture

Classifier: Edge and Luminance metric are used for better classification.

  • Notice: Rainy and snowy days tended to have low luminance and high edge components

image

Restoration: Pyramidal U-Net

  • U-Net has proven its power in denoising. Base on U-Net architecture, we adopted pyramid structure to enhance receptive field acceptance.

image

For more detail, please check "Weather Classification and Image Restoration Algorithm Attentive to Weather Conditions in Autonomous Vehicle.pdf"

Our demo is on youtube.

image

About

Weather image noise (rain, snow, haze) removal with classificatio

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages