Back to articles
Articles
Volume: 31 | Article ID: art00006
Image
A visual model for predicting chromatic banding artifacts
  DOI :  10.2352/ISSN.2470-1173.2019.12.HVEI-212  Published OnlineJanuary 2019
Abstract

Quantization of images containing low texture regions, such as sky, water or skin, can produce banding artifacts. As the bitdepth of each color channel is decreased, smooth image gradients are transformed into perceivable, wide, discrete bands. Commonly used quality metrics cannot reliably measure the visibility of such artifacts. In this paper we introduce a visual model for predicting the visibility of both luminance and chrominance banding artifacts in image gradients spanning between two arbitrary points in a color space. The model analyzes the error introduced by quantization in the Fourier space, and employs a purpose-built spatio-chromatic contrast sensitivity function to predict its visibility. The output of the model is a detection probability, which can be then used to compute the minimum bit-depth for which banding artifacts are just-noticeable. We demonstrate that the model can accurately predict the results of our psychophysical experiments.

Subject Areas :
Views 91
Downloads 6
 articleview.views 91
 articleview.downloads 6
  Cite this article 

Gyorgy Denes, George Ash, Huameng Fang, Rafał K Mantiuk, "A visual model for predicting chromatic banding artifactsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2019,  pp 212-1 - 212-8,  https://doi.org/10.2352/ISSN.2470-1173.2019.12.HVEI-212

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA