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  • 标题:Automatic Colorization of Black and White Images using Deep Learning
  • 本地全文:下载
  • 作者:Sindhuja Kotala ; Srividya Tirumalasetti ; Vudaru Nemitha
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2019
  • 卷号:8
  • 期号:2
  • 页码:125-131
  • 出版社:IJCSN publisher
  • 摘要:The main aim of our paper is to give an overall idea about how a grayscale image can be converted into a colorful image with the colorization problem and how it can further be used to color a video. To achieve artifact-free quality this generally requires manual reconciliation and therefore considered as a very strenuous problem . A cautious selection of colorful allusion images are generally required for the process. Far from the preceding methods, this paper aims at a high grade fully unmanned colorization method and also attempt to apply this concept to images obtained from video sequences. The recent achievements in deep learning approaches is the inspiration behind this paper, that focuses on reformulation of the problem of colorization so as we can employ the deep learning approaches promptly and that this technique can be applied on to the videos. Our proposed method is a fully automated process. To our best apprehension, no prevailing papers or research studies label this issue of using deep learning techniques to colorize videos.
  • 关键词:Deep learning; Convoluted neural networks; Machine learning;
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