Enhancement of low light image based on Gaussian Mixture Modeling
Kamini Kanta Mohanty, Mahesh Kumar Gellaboina · 2010
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.