Fast Tone Mapping Methods for High Contrast Images Anstract:
In this
paper, we present two novel, computationally efficient, practically
easy to use and highly effective tone mapping techniques for the
display of high dynamic range (HDR) images in low dynamic range (LDR)
devices. The first new method, termed hierarchical nonlinear linear
(HNL) tone-mapping operator maps the pixels in two hierarchical steps.
The first step allocates appropriate numbers of LDR display levels to
different HDR luminance intervals according to the pixel populations
falling onto the intervals. The second step linearly maps the intervals
to theirs allocated LDR display levels. In the developed HNL scheme,
the assignment of LDR display levels to the HDR luminance intervals is
controlled by a very simple and flexible formula with a single
adjustable parameter. The second new method, termed the tree structured
linear to equalization mapping (TS-LEM) HDR tone-mapping operator
clusters the high dynamic range pixels in a hierarchical manner. A
single parameter effectively controls the clustering in a
computationally highly efficient way, which elegantly renders the
mapping ranging from linear scaling to histogram equalization in a
seamless manner. Compared with tone mapping operators involving spatial
processing, our new methods are computationally more efficient and have
far fewer parameters users have to set thus making them much easier to
use. Compared with other tone reproduction curve based operators, our
methods are much more flexible and effective. Experimental results
further demonstrate that the performances of our techniques compare
very favorably with state of the art while having the advantages of
being computationally simple and practically easy to use. We also
demonstrate that our new operators can be used for the effective
enhancement of ordinary (8 bits per pixel/gray-scale or 24 bits per
pixel/color) images
|
||
Links |
||
|