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Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
Published on: April 11, 2025
808
Perceptually guided contrast enhancement based on viewing distance.
Liang Zhou1, Daniel Weiskopf2, Chris R Johnson1
1SCI Institute, University of Utah, United States.
Journal of Visual Languages and Computing
|December 13, 2019
Summary
This study introduces a new image-space contrast enhancement technique for color visualizations. It uses a virtual viewing distance parameter to improve image clarity and emphasize features, compensating for visual perception loss.
Area of Science:
- Computer Vision
- Image Processing
- Perceptual Computing
Background:
- Color-encoded visualizations often suffer from contrast loss at different viewing distances.
- Existing methods may not adequately account for human visual perception in contrast enhancement.
Purpose of the Study:
- To develop an image-space contrast enhancement method for color visualizations.
- To compensate for contrast loss based on human visual perception and viewing distance.
- To provide an intuitive parameter for users to adjust contrast enhancement.
Main Methods:
- Analysis of a multiscale contrast model of the input image.
- Testing visibility of bandpass images at a virtual viewing distance.
- Adapting bandpass image weights using a spatial vision threshold model for contrast enhancement.
Main Results:
- The proposed method effectively enhances contrast in color-encoded visualizations.
- It compensates for contrast loss due to virtual viewing distance.
- User-adjustable overcompensation allows for emphasis of relevant image features.
Conclusions:
- The image-space contrast enhancement method is efficient and generic.
- It can be integrated into various visualization tools as a post-processing technique.
- Demonstrated usefulness across diverse datasets and visualization types.
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