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
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;
Conference_Titel :
Visual Information Processing (EUVIP), 2010 2nd European Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7288-8
DOI :
10.1109/EUVIP.2010.5699120
