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要旨:
High dynamic range (HDR) displays are capable of providing a rich visual experience by boosting both luminance
and contrast beyond what conventional displays can offer.We envision that HDR capture and display hardware will
soon reach the mass market and become mainstream in most fields, from entertainment to scientific visualization.
This will necessarily lead to an extensive redesign of the imaging pipeline. However, a vast amount of legacy
content is available, captured and stored using the traditional, low dynamic range (LDR) pipeline. The immediate
question that arises is: will our current LDR digital material be properly visualized on an HDR display? The
answer to this question involves the process known as reverse tone mapping (the expansion of luminance and
contrast to match those of the HDR display) for which no definite solution exists.
This paper studies the specific problem of reverse tone mapping for imperfect legacy still images, where some
regions are under- or overexposed. First, we show the results of a psychophysical study compared with first-order
image statistics, in an attempt to gain some understanding in what makes an image be perceived as incorrectly
exposed; second, we propose a methodology to evaluate existing reverse tone mapping algorithms in the case of
imperfect legacy content.
