An improved encoder-decoder cnn with region-based filtering for vibrant colorization

HIGHLIGHTS

  • who: Anupam Kumar Bairagi from the Computer and Engineering Discipline, Khulna University, Khulna, Bangladesh have published the Article: An Improved Encoder-Decoder CNN with Region-Based Filtering for Vibrant Colorization, in the Journal: (JOURNAL)
  • what: The authors compare the proposed method with several existing methods. The authors propose a new technique to solve these problems.
  • how: In this paper an encoder-decoder Convolutional Neural Network (CNN) model is used for colorizing gray images where the encoder is a Densely Connected Convolutional Network (DenseNet) and the decoder is a conventional CNN. The authors proposed . . .

     

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