In this work, we capture hazed images with three similar cameras possessing a sufficiently large depth of field (wide angle lenses). So, the foreground, middle-ground and background of the scene appear sharp and clear. The cameras are located at the vertices of an isosceles right triangle and take the same part of the scene. We propose a restoration algorithm based on three observed degraded images. It is assumed that degraded images contain information about an original image, hazing function, and noise. A dehazing algorithm explicitly solves a linear system of equations derived from a quadratic objective function. Experimental results obtained with the proposed method are presented and discussed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.