Title of article :
Visual Acuity in Day for Night
Author/Authors :
GLORIA HARO، نويسنده , , MARCELO BERTALM´IO AND VICENT CASELLES، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
In film production, it is sometimes not convenient or directly impossible to shoot some night scenes at
night. The film budget, schedule or location may not allow it. In these cases, the scenes are shot at daytime, and the
‘night look’ is achieved by placing a blue filter in front of the lens and under-exposing the film. This technique, that
the American film industry has used for many decades, is called ‘Day for Night’ (or ‘American Night’ in Europe.)
But the images thus obtained don’t usually look realistic: they tend to be too bluish, and the objects’ brightness seems
unnatural for night-light. In this article we introduce a digital Day for Night algorithm that achieves very realistic
results. We use a set of very simple equations, based on real physical data and visual perception experimental data.
To simulate the loss of visual acuity we introduce a novel diffusion Partial Differential Equation (PDE) which takes
luminance into account and respects contrast, produces no ringing, is stable, very easy to implement and fast. The
user only provides the original day image and the desired level of darkness of the result. The whole process from
original day image to final night image is implemented in a few seconds, computations being mostly local.
Keywords :
non-linear diffusion , day for night , Visual perception , dark adaptation
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION