[IPOL announce] new article: An Analysis and Improvement of the BLS-GSM Denoising Method

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2014/86/

Boshra Rajaei, An Analysis and Improvement of the BLS-GSM Denoising 
Method, Image Processing On Line, 4 (2014), pp. 44–70. 
http://dx.doi.org/10.5201/ipol.2014.86

Abstract
Modeling image properties using Gaussian scale mixture (GSM) model in a 
multiresolution transform space is the basic idea of a denoising 
algorithm proposed by Portilla et al. Under this model and using the 
correlations between pyramid coefficients, the Bayesian least squares 
(BLS) of each coefficient is used to estimate its original value. In 
this article, we analyze and discuss the BLS-GSM algorithm, its 
drawbacks and benefits in more detail. An analytical parameter study of 
this denoising approach is provided as well. Additionally, we propose a 
localized version of this algorithm and experimentally show that it 
outperforms the original method both numerically and visually. We also 
show that the resulting method is state-of-the-art in terms of PSNR.