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Single Image Haze Removal Using Dark Channel Prior

version (3.68 MB) by Adina Stoica
Implementation of the paper


Updated 07 Apr 2014

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Course project:
In a team, implemented the Single Image Haze Removal Using Dark Channel Prior paper. In the paper, He, Sun and Tang describe a procedure for removing haze from a single input image using the dark channel prior. The most widely used model to describe the formation of a haze image is:
I(x) = J(x)t(x) + A(1 - t(x))
where I is the observed image intensity, J is the scene radiance, A is the global atmospheric light and t is the medium transmission, describing the portion of light that reaches the camera. The goal of haze removal is to recover A, J and t from I.
The paper sets out to compute the Dark Channel Prior, estimate the Atmospheric Light A based on it, use this estimated A to estimate transmission t. This transmission is then refined using Soft Matting and the Scene Radiance J is recovered using the results.
Paper Link:

Cite As

Adina Stoica (2021). Single Image Haze Removal Using Dark Channel Prior (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
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