ICAP

Summary

This is a MATLAB source code of the paper "Improved Color Attenuation Prior for Single-Image Haze Removal", published in Applied Sciences-Basel (MDPI). The algorithm, which will be referred to as ICAP for short, was developed from the color attenuation prior proposed by Zhu et al. [1] by addressing several shortcomings like color distortion, background noise, and over-removal of haze. The figure below depicts the block diagram of the ICAP, in which the blocks highlighted by red rectangles are pertinent to new features proposed in the paper [2].

Run the code

The source code is in the ICAP folder, and the demonstration is shown by executing the demo.m file in MATLAB environment.

NOTE: The souce code of adaptive tone remapping algorithm is excluded due to copyright restriction.

Qualitative results

References

1. Q. Zhu, J. Mai and L. Shao, "A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior," in IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3522-3533, Nov. 2015, doi: 10.1109/TIP.2015.2446191.
2. D. Ngo, G.-D. Lee and B. Kang, "Improved Color Attenuation Prior for Single-Image Haze Removal," in Appl. Sci. 2019, 9, 4011, doi: 10.3390/app9194011.
3. J. Tarel and N. Hautière, "Fast visibility restoration from a single color or gray level image," in the proceding of 2009 IEEE 12th International Conference on Computer Vision, Kyoto, 2009, pp. 2201-2208, doi: 10.1109/ICCV.2009.5459251.
4. K. He, J. Sun and X. Tang, "Single Image Haze Removal Using Dark Channel Prior," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 12, pp. 2341-2353, Dec. 2011, doi: 10.1109/TPAMI.2010.168.
5. G. Kim, S. Lee and B. Kang, "Single Image Haze Removal Using Hazy Particle Maps," in IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, vol.E101-A, no.11, pp.1999-2002, 2018, doi: 10.1587/transfun.E101.A.1999.