[Satoshi Iizuka] Automatic Restoration of Historical Video and Image Contents via Deep Neural Networks

Researcher

Satoshi Iizuka

Satoshi Iizuka

Waseda University
Faculty of Science and Engineering
Junior Researcher

Website

Outline

I will establish a fully automatic architecture for restoring historical video and image contents via deep learning. Old photography usually consists of black and white images with noise and blur. Up until now, removing the deterioration and restoring the color required complicated image editing by an expert through trial and error. In this work, I will propose a novel architecture based on multiple convolutional neural networks to automatically detect time-related deterioration and restore them with color. I believe this will make people more familiar with historical image contents, which will improve the understanding of human history.

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
Finish programs
  • Pamphlet
  • ProjectDB
  • GlobalActivity
  • Diversity-EN
  • OS_Policy-EN
  • Question-E