datngo93/mifdh

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.

mIFDH

Summary

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion. The computational flow is as follows:

Input image --> Detail enhancement --> Gamma correction --> Dark channel prior-based weight maps calc. --> Single-scale image fusion --> Post-processing --> Output image

This source code includes all computational steps, except for the adaptive tone remapping post-processing due to copyright restrictions.

Run the code

Executing the file mIFDH_demo.m in MATLAB R2019a to view the hazy-dehazed results side-by-side.

Qualitative results

NOTE: The results obtained by executing this source code are different from the qualitative results presented here. The reason is the exclusion of adaptive tone remapping post-processing.

Reference

In any publication related to the use of the source code, you are kindly requested to cite the following reference:

Ngo, D.; Lee, S.; Nguyen, Q.-H.; Ngo, T.M.; Lee, G.-D.; Kang, B. Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems. Sensors 2020, 20, 5170.