VCLab

 

RESEARCH AREAS   PEOPLE   PUBLICATIONS   COURSES   ABOUT US
Home / Publications

indicator

ACM Transactions on Graphic
(Presented at SIGGRAPH 2011)
 
Edge-Aware Color Appearance
 
         
  Min H. Kim Tobias Ritschel Jan Kautz  
         
  Yale University
University College London
Telecom ParisTech
MPI Informatik
University College London  
   
         
  SIGGRAPH Logo  
  The logo in (a) is blurred by a Gaussian filter, yielding (b). Image (b) appears brighter and more colorful than the original. Using our model, image (c) produces the same color appearance even after the blurring operation. Note that actual pixel values in image (c) are different from the original image (a).  
   
  Abstract
   
  Color perception is recognized to vary with surrounding spatial structure, but the impact of edge smoothness on color has not been studied in color appearance modeling. In this work, we study the appearance of color under different degrees of edge smoothness. A psychophysical experiment was conducted to quantify the change in perceived lightness, colorfulness and hue with respect to edge smoothness. We confirm that color appearance, in particular lightness, changes noticeably with increased smoothness. Based on our experimental data, we have developed a computational model that predicts this appearance change. The model can be integrated into existing color appearance models. We demonstrate the applicability of our model on a number of examples.
   
  BibTeX
 
@Article{KimRitschelKautz:2011:TOG,
author = {Min H. Kim and Tobias Ritschel and Jan Kautz},
title = {Edge-Aware Color Appearance},
journal = {ACM Transactions on Graphics
(presented at SIGGRAPH2011)},
year = {2011},
volume = {30},
number = {2},
pages = {13:1--9},
doi = "1944846.1944853",
URL = "http://dl.acm.org/citation.cfm?doid=1944846.1944853"
}
   
   
   
   
Prepress paper
PDF (9.7MB)
Supplemental:
Experimental Data
PDF (102KB)
icon ACM Digital Library
(Presentation)
Related Project:
XLRCAM (SIGGRAPH 2009)
Note: [link]
 
 

Hosted by Visual Computing Laboratory, School of Computing, KAIST.

KAIST