中央凹
斑点图案
计算机科学
全息术
散斑噪声
计算机视觉
渲染(计算机图形)
人工智能
全息显示器
人眼
图像质量
光学
人类视觉系统模型
周边视觉
立体显示器
自适应光学
噪音(视频)
感知
可视化
相位噪声
视网膜
空间频率
视觉感受
点目标
数字全息术
质量(理念)
作者
Praneeth Chakravarthula,Zhan Zhang,Okan Tarhan Tursun,Piotr Didyk,Qi Sun,Henry Fuchs
标识
DOI:10.1109/tvcg.2021.3106433
摘要
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 speckle noise" by integrating foveal and peripheral vision characteristics of the HVS, along with the retinal point spread function, into the phase hologram computation. Specifically, we introduce the anatomical and statistical retinal receptor distribution into our computational hologram optimization, which places a higher priority on reducing the perceived foveal speckle noise while being adaptable to any individual's optical aberration on the retina. Our method demonstrates superior perceptual quality on our emulated holographic display. Our evaluations with objective measurements and subjective studies demonstrate a significant reduction of the human perceived noise.
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