Skip to main content
Article thumbnail
Location of Repository

Blind Haze Separation

By Sarit Shwartz, Einav Namer and Yoav Y. Schechner

Abstract

Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering, particularly in haze. A major problem is spatially-varying reduction of contrast by stray radiance (airlight), which is scattered by the haze particles towards the camera. Recent computer vision methods have shown that images can be compensated for haze, and even yield a depth map of the scene. A key step in such a scene recovery is subtraction of the airlight. In particular, this can be achieved by analyzing polarization-filtered images. However, the recovery requires parameters of the airlight. These parameters were estimated in past studies by measuring pixels in sky areas. This paper derives an approach for blindly recovering the parameter needed for separating the airlight from the measurements, thus recovering contrast, with neither user interaction nor existence of the sky in the frame. This eases the interaction and conditions needed for image dehazing, which also requires compensation for attenuation. The approach has proved successful in experiments, some of which are shown here. 1 Stray Radiation in Haze Imaging in poor atmospheric conditions [3, 7, 12, 20] affects human activities, as well as remote sensing and surveillance. Hence, analysis of images taken in haze is important. Moreover, research into atmospheric imaging promotes other domains of vision through scattering media

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.4605
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.ee.technion.ac.il/~... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.