Back to articles
Articles
Volume: 19 | Article ID: art00006
Image
Predicting Image Differences Based on Image-Difference Features
  DOI :  10.2352/CIC.2011.19.1.art00006  Published OnlineJanuary 2011
Abstract

An accurate image-difference measure would greatly simplify the optimization of imaging systems and image processing algorithms. The prediction performance of existing methods is limited because the visual mechanisms responsible for assessing image differences are not well understood. This applies especially to the cortical processing of complex visual stimuli.We propose a flexible image-difference framework that models these mechanisms using an empirical data-mining strategy. A pair of input images is first normalized to specific viewing conditions by an image appearance model. Various image-difference features (IDFs) are then extracted from the images. These features represent assumptions about visual mechanisms that are responsible for judging image differences. Several IDFs are combined in a blending step to optimize the correlation between image-difference predictions and corresponding human assessments.We tested our method on the Tampere Image Database 2008, where it showed good correlation with subjective judgments. Comparisons with other image-difference measures were also performed.

Subject Areas :
Views 3
Downloads 0
 articleview.views 3
 articleview.downloads 0
  Cite this article 

Ingmar Lissner, Jens Preiss, Philipp Urban, "Predicting Image Differences Based on Image-Difference Featuresin Proc. IS&T 19th Color and Imaging Conf.,  2011,  pp 23 - 28,  https://doi.org/10.2352/CIC.2011.19.1.art00006

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2011
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA