Abstract
Tone mapping aims to reproduce a standard dynamic
range image from a high dynamic range image with visual
information preserved. State-of-the-art tone mapping algorithms mostly decompose an image into a base layer and a
detail layer, and process them accordingly. These methods
may have problems of halo artifacts and over-enhancement,
due to the lack of proper priors imposed on the two layers. In
this paper, we propose a hybrid ?1-?0 decomposition model
to address these problems. Specifically, an ?1 sparsity term is
imposed on the base layer to model its piecewise smoothness
property. An ?0 sparsity term is imposed on the detail layer
as a structural prior, which leads to piecewise constant effect.
We further propose a multiscale tone mapping scheme based
on our layer decomposition model. Experiments show that
our tone mapping algorithm achieves visually compelling
results with little halo artifacts, outperforming the stateof-the-art tone mapping algorithms in both subjective and
objective evaluations.