Gaze-Contingent Retinal Speckle Suppression for Perceptually-Matched Foveated Holographic Displays
Praneeth Chakravarthula, Zhan Zhang, Okan Tursun, Piotr Didyk, Qi Sun,, Henry Fuchs

TL;DR
This paper introduces a gaze-contingent hologram optimization method that reduces perceived speckle noise by considering human visual sensitivity and retinal characteristics, enhancing holographic display quality.
Contribution
It is the first to incorporate human visual system characteristics and retinal point spread functions into hologram computation for speckle noise reduction.
Findings
Significant reduction in perceived speckle noise in holographic displays.
Enhanced perceptual quality demonstrated through objective and subjective evaluations.
Method adaptable to individual retinal aberrations.
Abstract
Computer-generated holographic (CGH) displays show great potential and are emerging as the next-generation displays for augmented and virtual reality, and automotive heads-up displays. One of the critical problems harming the wide adoption of such displays is the presence of speckle noise inherent to holography, that compromises its quality by introducing perceptible artifacts. Although speckle noise suppression has been an active research area, the previous works have not considered the perceptual characteristics of the Human Visual System (HVS), which receives the final displayed imagery. However, it is well studied that the sensitivity of the HVS is not uniform across the visual field, which has led to gaze-contingent rendering schemes for maximizing the perceptual quality in various computer-generated imagery. Inspired by this, we present the first method that reduces the "perceived…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Optical Imaging Technologies · Visual perception and processing mechanisms · Digital Holography and Microscopy
