This repository provides the official implementation for the paper "IHDCP: Single Image Dehazing Using Inverted Haze Density Correction Prior". To protect intellectual property, the core implementation is distributed as MATLAB p-code (.p files).

• MATLAB R2021b or newer
• Windows OS

1. Place input images in the input_images/ folder.
2. Open MATLAB and run demo.m.
3. Dehazed results will be saved to the output_images/ folder.

• demo.m: Entry script that reads images from input_images/ and writes results to output_images/.
• Core p-code files (runnable, source code hidden):
  • Airlight.p
  • boxfilter.p
  • dehazing.p
  • guidedfilter.p
  • maxfilt2.p
  • vanherk.p
• input_images/: Sample input images.
• output_images/: Dehazed results generated after running demo.m.

If you use this code in your research, please cite our paper:

@ARTICLE{liu2026ihdcp,
  author={Liu, Yun and Li, Tao and Tan, Chunping and Ren, Wenqi and Ancuti, Cosmin and Lin, Weisi},
  journal={IEEE Transactions on Image Processing}, 
  title={IHDCP: Single Image Dehazing Using Inverted Haze Density Correction Prior}, 
  year={2026},
  volume={35},
  number={},
  pages={1448-1461},}

• Do not rename or move .p files or change their relative paths; this may cause runtime errors.
• Batch processing is supported: place multiple images in input_images/, and demo.m will iterate and generate corresponding results.
• If you encounter MATLAB version compatibility issues, please try a newer MATLAB release.

For technical inquiries or licensing, please contact us at lt3088919588@email.swu.edu.cn. The core algorithm is provided as p-code only to protect intellectual property.