Image enhancement for noisy color imagery
conference paper
Recently new techniques for night vision cameras are developed. So-called EMCCD cameras are able to record
color information about the scene. However, in low-light situations this imagery becomes noisy. This is also
the case for normal CCD cameras in dark situations or in shadowed areas. In this paper we present image
enhancement techniques for noisy color imagery. The techniques are based on grey-value image enhancement
techniques, in particular dynamic super-resolution reconstruction, which is used to enhance the lightness of the
image, and local adaptive contrast enhancement. With the super-resolution technique the temporal noise in the
lightness channel of the imagery is removed. The color information of the images is spatially filtered using the
edge information of the enhanced lightness image. The result is colored output imagery with reduced temporal
noise
color information about the scene. However, in low-light situations this imagery becomes noisy. This is also
the case for normal CCD cameras in dark situations or in shadowed areas. In this paper we present image
enhancement techniques for noisy color imagery. The techniques are based on grey-value image enhancement
techniques, in particular dynamic super-resolution reconstruction, which is used to enhance the lightness of the
image, and local adaptive contrast enhancement. With the super-resolution technique the temporal noise in the
lightness channel of the imagery is removed. The color information of the images is spatially filtered using the
edge information of the enhanced lightness image. The result is colored output imagery with reduced temporal
noise
Topics
TNO Identifier
28545
Publisher
SPIE
Article nr.
71131A
Source title
Electro-Optical and Infrared Systems: Technology and Applications V, 16 September 2008, Cardiff, Whales, UK.
Editor(s)
Huckridge, D.A.
Ebert, R.R.
Ebert, R.R.
Place of publication
Bellingham, WA