| Project Members: Griffin Foster gfoster@berkeley.edu Howard Lin hhl@berkeley.edu Todd Kolsoff todd@berkeley.edu |
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Send any project questions to gfoster@berkeley.edu |
| Opponent BlueShift | HDR
Approximation | Nighttime Halos Last Updated February 13, 2006 Synopsis: the human eye is made up of two main types
of photo receptors, rods and cones. As the luminance of an area
being viewed decreases the rods shut down and all vision is done
through the cones. Although this isn't exactly true since there
are a small number of rods on at even very low luminance. When cones
become the dominant photo receptors there is a very slight shift
in colors to a more bluish range. This is due to the fact that there
is only one type of code which is optimal at absorbing blues while
rods come in three types(red, green, blue). This shift is know as
the Blue Shift. Not only is there a shift to a bluish range but
also since there are fewer photons entering the eye there is more
noise and there is a general lose of detail. This project is implementing
such effects on low dynamic range images and also on high dynamic
range images where we can account for light sources.
HDR Image Approimation Using LDR Images: Synopsis: A high dynamic range image (HDR) is an
image which not only contains color values for each pixel but also
luminance values. This allows for greater image manipulation and
range. Usually an HDR is constructed by taking numerous photographs
of the same setting using variable f-stops and exposure times. The
images are then combined into a single HDR, this can be done with
mkhdr. The downside
to HDR images is that the image has to be static. We are trying
to approximate HDR images from a single low dynamic range image
using experimentally discover luminance values and user interactions.
For more on HDR images visit Paul
Debevec's Site. Reference Papers and Websites:
Synopsis: The night time halo effect is an effect which is caused by the scattering of the photons entering the human eye. This is an effect which is caused by the human eye being uniform so it is an effect not easily captured with a photographic lens. The halos effect is a well understood scientifically such that we can mathematically simulate the effect, this has been done in previous work. We are implementing the effect into the BlueShift project for a more realistic image rendering. Reference Papers and Websites:
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