Abstract
The human visual system processes lightness constancy to estimate reflectance
under complex viewing conditions. We focus on the underlying reason the human visual
system is conscious of haze, and discuss the single-image haze-removal problem based
on lightness constancy from the beginning of haze illusion. Following the basic
principle and model of "atmospheric transfer function", we bring about a simple
dehazing paradigm by estimating two values using bilateral filtering. Practical
investigation of parameters and design are analyzed in detail. Furthermore, a novel
quantitative standard haziness presents itself naturally during the estimation
process. Comparative study and objective evaluation demonstrate that the proposed
method is fast and effective, yielding high-contrast and vivid haze-free images.
© 2012 Chinese Optics Letters
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