The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
Cancellation of image crosstalk in time-sequential displays of stereoscopic video
IEEE Transactions on Image Processing
An image-warping VR-architecture: design, implementation and applications
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Perceptually-based compensation of light pollution in display systems
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
Stereo/multiview picture quality: Overview and recent advances
Image Communication
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Stereo displays suffer from crosstalk, an effect that reduces or even inhibits the viewer's ability to correctly fuse stereoscopic images. In this paper, three extensions for improved software crosstalk reduction are introduced. First, we propose a reduction method operating in CIELAB color space to find a perceptually better color match for crosstalk corrected pixels. Second, we introduce a geometry-based reduction method that operates on fused 3D pixels. Finally, a run-time optimization is introduced that avoids the need to process each pixel. We evaluated our CIELAB-based method using the Visible Differences Predictor (VDP). Our results show that we are able to significantly improve crosstalk reduction compared to previously used methods that operate in RGB color space. The combination of our methods provides an improved, real-time software crosstalk reduction framework, applicable to a wider range of scenes, delivering better quality, higher performance, and more flexibility.