DocumentCode
2307525
Title
Enhancement of low light image based on Gaussian Mixture Modeling
Author
Mohanty, Kamini Kanta ; Gellaboina, Mahesh Kumar
Author_Institution
HTS Res., Honeywell Technol. & Solutions, Bangalore, India
fYear
2010
fDate
5-6 July 2010
Firstpage
232
Lastpage
236
Abstract
This paper presents a method for global image enhancement based on Gaussian Mixture Modeling (GMM). The philosophy behind GMM based enhancement is to enable a more efficient packing of individual Gaussian components in the histogram of the enhanced image, which gets rid off unutilized brightness zones in the image. This enhancement technique falls under the category of global image enhancement and is applied to the image using a transfer function. This method has been tested on diverse set of images under low light conditions.
Keywords
Gaussian processes; image enhancement; Gaussian mixture modeling; global image enhancement; low light image; transfer function; GMM; contrast; histogram; image enhancement; look up table;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Information Processing (EUVIP), 2010 2nd European Workshop on
Conference_Location
Paris
Print_ISBN
978-1-4244-7288-8
Type
conf
DOI
10.1109/EUVIP.2010.5699120
Filename
5699120
Link To Document