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Deep learning based denoising process

Reference

Yoon, Taekeun, et al. "Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment." Combustion and Flame 248 (2023): 112583. https://doi.org/10.1016/j.combustflame.2022.112583

Included folders and files

  • data : raw dataset (download following file (url) 'rawdataM.mat' and locate in data folder)
  • models : model strucutre python code
  • utils : required functions
  • main.py : main code
  • enivornment.yaml : conda environment
  • config.yaml : configuration

Requirements

  • python environment (anaconda)
  • python version 3.10.4
  • window 10 64bit

Procedure

$ : command

  1. Select working directory
  2. Download data in ./data/
  3. $ conda create -n DUCNN
  4. $ conda activate DUCNN
  5. $ conda env create --file environment.yaml
  6. $ python main.py

Note1

If the GPU memory is not enough, Reduce batch_size