Summary of the technology
Dehazing using Color-Lines
Project ID : 10-2014-3005
Description of the technology
Color-lines used to recover scene transmission based on offset of lines from the origin
Computer Science & Engineering, Imaging / Computer Graphics
Research completed, method implemented and tested against
US patent application filed
- Most image dehazing methods remove the layer of haze by recovering the direct scene radiance.
- These methods rely on a physical image formation model that describes the hazy image as a combination between the scene radiance and the atmospheric light.
- In the case of RGB images, the input image supplies only three of the four constraints required to produce optimum results and necessitate supplying additional information about the scene.
- New method produces superior results without the need for additional inputs.
New method for single-image dehazing that relies on a generic regularity in natural images
where pixels of small image patches typically exhibit a one-dimensional distribution in RGB color space, known as color-lines. Local image formation model uses the color-lines in hazy images to recover the scene transmission based on their offset from the origin.
- Algorithm validates its hypothesis and obtains more reliable transmission estimates where possible.
- Unique pixel distribution predicted by model enables identification of patches not exhibiting proper color-lines and discards them.
- Extensive evaluation of this method over different types of images and comparison to state-of-the-art methods over established benchmark images shows consistent improvement in the accuracy of the estimated scene transmission and recovered haze-free radiances.
- Real-time implementation on various platforms
- Developing application specific user-interface
- Applications in long-distance photography
- Airborne imaging
- Satellite photography
- Underwater photography