research-article

Contrast Enhancement Based on Viewing Distance

Authors:

Daniel WeiskopfAuthors Info & Claims

VINCI '18: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction

Pages 25 - 32

https://doi.org/10.1145/3231622.3231628

Published: 13 August 2018 Publication History

Abstract

In this paper, we propose an image-space contrast enhancement method for color-encoded visualization. The contrast of an image is enhanced through a perceptually-guided approach that interfaces with the user with a single and intuitive parameter of the virtual viewing distance. To this end, we analyze a multiscale contrast model of the input image and test the visibility of bandpass images of all scales at a virtual viewing distance. By adapting weights of bandpass images with a threshold model of spatial vision, this image-based method enhances contrast to compensate for contrast loss caused by viewing the image at a certain distance. Relevant features in the color image can be further emphasized by the user using overcompensation. The method is efficient and can be integrated into any visualization tool as it is a generic image-based post-processing technique. Using highly diverse datasets, we show the usefulness of perception compensation across a wide range of typical visualizations.

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Cited By

Zhou LNetzel RWeiskopf DJohnson C(2019)Spectral Visualization SharpeningACM Symposium on Applied Perception 201910.1145/3343036.3343133(1-9)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1145/3343036.3343133
Zhou LWeiskopf D(2019)Multivariate visualization of particle dataThe European Physical Journal Special Topics10.1140/epjst/e2019-800158-6227:14(1741-1755)Online publication date: 8-Mar-2019
https://doi.org/10.1140/epjst/e2019-800158-6

Contrast Enhancement Based on Viewing Distance
1. Computing methodologies
  1. Computer graphics

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cover image ACM Other conferences

VINCI '18: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction

August 2018

135 pages

ISBN:9781450365017

DOI:10.1145/3231622

General Chair:
Andreas Kerren,
Program Chairs:
Karsten Klein,
Yi-Na Li

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 August 2018

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VINCI '18

VINCI '18: The 11th International Symposium on Visual Information Communication and Interaction

August 13 - 15, 2018

Växjö, Sweden

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Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Zhou LNetzel RWeiskopf DJohnson C(2019)Spectral Visualization SharpeningACM Symposium on Applied Perception 201910.1145/3343036.3343133(1-9)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1145/3343036.3343133
Zhou LWeiskopf D(2019)Multivariate visualization of particle dataThe European Physical Journal Special Topics10.1140/epjst/e2019-800158-6227:14(1741-1755)Online publication date: 8-Mar-2019
https://doi.org/10.1140/epjst/e2019-800158-6

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