LECARM

Code for our paper "LECARM: Low-Light Image Enhancement using Camera Response Model"

• Our paper provides a low-light image enhancment algorithm obtaining the enhanced images by locally adjusting the exposure of input images using camera response model.

• run run.m for a demo

• Original code is tested on Matlab 2016b 64bit, Windows 10.

• The code for the comparison methods is provided, see lowlight.

• The Datasets used in our paper in are provided:

  • DoRF (Containing 201 real-world camera response curves)
  • VV
  • LIME-data
  • NPE-data, NPE-ex1, NPE-ex2, NPE-ex3
  • DICM (69 captured images from commercial digital cameras: Download (15.3 MB))
  • MEF dataset
  • IUS

• The quality metrics used in our papers:

  • LOE: Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images
  • RCDM: A Reduced-Reference Color Distortion Metric for Enhanced Low-light Images (Matlab code coming soon)
  • PCQI: A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images (Download the code)

• Comparison with several state-of-the-art methods