/Naturalization

Image Naturalization = Enhancement + Image Quality Assessment

@phdthesis{gong:phd,
  title={Spectrally regularized surfaces},
  author={Gong, Yuanhao},
  year={2015},
  school={ETH Zurich, Nr. 22616},
  note={http://dx.doi.org/10.3929/ethz-a-010438292}}
  
@ARTICLE{gong:gdp, 
author={Gong, Y. and Sbalzarini, I.F.}, 
journal={Selected Topics in Signal Processing, IEEE Journal of}, 
title={A Natural-Scene Gradient Distribution Prior and its Application in Light-Microscopy Image Processing}, 
year={2016}, 
volume={10}, 
number={1}, 
pages={99-114},  
doi={10.1109/JSTSP.2015.2506122}, 
ISSN={1932-4553}, 
month={Feb},}

@conference{Gong:2014a,
Author = {Yuanhao Gong and Ivo F. Sbalzarini},
Booktitle = {In Proc. 12th Asian Conference on Computer Vision},
Month = {Nov},
Pages = {w7-p3},
Title = {Image Enhancement by Gradient Distribution Specification},
Year = {2014}}

Image Naturalization = Enhancement + Quality Assessment

paper and souce code can be found at http://mosaic.mpi-cbg.de/?q=downloads/naturalization

Image Enhancement

From left to right: original image, Adaptive Manifold, Guided Filter, Relative Total Variation, Naturalization

image image image image image

Image Quality Assessment

naturalization factor can be used to indicate image quality. Details can be found at http://mosaic.mpi-cbg.de/?q=downloads/naturalization image

Noise Level Estimation

paper and souce code can be found at http://mosaic.mpi-cbg.de/?q=downloads/naturalization image