Code for our paper "LECARM: Low-Light Image Enhancement using Camera Response Model"
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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.
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run
run.mfor a demo -
Original code is tested on Matlab 2016b 64bit, Windows 10.
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The code for the comparison methods is provided, see lowlight.
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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
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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)
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Comparison with several state-of-the-art methods
