# HRwFE
## Note
I am unable to public the source code of Adaptive Tone Remapping (ATR) due to copyright restrictions. Thus, the dehazed results at this time are different from those being presented in the published paper. I will try my utmost to circumvent this issue.
## Summary
This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The following table summarized the main features of this algorithm.
Feature | Description
--------|------------
Background noise removal | The backgroud noise originated from the spike-like noise in the saturation channel. Thus, a simple low-pass filter removed the background noise effectively.
Color distortion correction | The employed linear regression model for estimating the scene depth misinterpreted dark regions as close regions, giving rise to the color distortion. HRwFE resolved this problem by an efficient means of adaptive weighting.
Post-dehazing false enlargement correction | The difference between the atmospheric light pixel and pixels surrounding white objects caused the post-dehazing false enlargement. HRwFE employed a compensation scheme that scales up the atmospheric light according to solve this problem.
Feel free to [contact me](mailto:ngodat9093@gmail.com) (<ngodat9093@gmail.com>) if you are interested in the hardware implementation of this dehazing algorithm.
## Run the code
Run the file "*demonstration_without_ATR.m*" in **MATLAB R2019a** to view the result. The source code is in the *source_code* folder.
## Qualitative results
![First](/results/qualitative_evaluation_1.jpg)
![Second](/results/qualitative_evaluation_2.jpg)
![Third](/results/qualitative_evaluation_all.jpg)
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matlab暗调滤镜代码雾度去除算法的MATLAB实现有效处理白色对象的除雾后虚假放大
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2024-01-03
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matlab暗调滤镜代码雾度去除算法的MATLAB实现有效处理白色对象的除雾后虚假放大 此源代码是雾度去除算法的MATLAB实现,可以有效处理白色对象的除雾后虚假放大。下表总结了该算法的主要功能。特征描述消除背景噪音背景噪声源自饱和通道中的尖峰样噪声。因此,一个简单的低通滤波器可以有效地消除背景噪声。色彩失真校正用于估计场景深度的线性回归模型将黑暗区域误解为近距离区域,从而导致色彩失真。HRwFE通过一种有效的自适应加权手段解决了这个问题。除雾后假扩大校正大气光像素与周围白色物体的像素之间的差异导致除雾后虚假放大。HRwFE采用了一种补偿方案,可以根据此问题按比例放大大气中的光线。如果您对此除雾算法的硬件实现感兴趣,请随时()。运行代码运行在MATLABR2019a文件“demonstration_without_ATR.m”以查看结果。源代码位于source_code文件夹中。定性结果 matlab暗调滤镜代码雾度去除算法的MATLAB实现有效处理白色对象的除雾后虚假放大.zip (12.12 MB, 需要: RMB 19 元) 7cc54a38fffe8eddf748a42
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matlab暗调滤镜代码雾度去除算法的MATLAB实现有效处理白色对象的除雾后虚假放大.zip (23个子文件)
75a375707078f1e3b343365cc07c1d6.png 14KB
HRwFE-master
source_code
maxFilt2.m 2KB
qthw_v3.m 5KB
hmfm_v33.m 2KB
hmfm_v33_rgb.m 5KB
weightedMeanFilt2_v2.m 1KB
sympad.m 3KB
meanFilt2_v2.m 1KB
qtdiv_v2.m 2KB
localWB.m 971B
meanFilt2.m 1KB
qtSubAl.m 2KB
dehazing_algorithm.m 4KB
weightedMeanFilt2.m 2KB
minFilt2_v2.m 1KB
minFilt2.m 2KB
demonstration_without_ATR.m 984B
results
qualitative_evaluation_1.jpg 2.27MB
scratch.txt 1B
qualitative_evaluation_all.jpg 8.08MB
qualitative_evaluation_2.jpg 2.06MB
README.md 2KB
sunset.png 247KB
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