.png){kind=icon}
返回
Blur image representation in defocus using generalized Gaussian kernel
.png){kind=icon}
OA
AI
DOI：10.1080/15980316.2025.2483195.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Some optical see-through (OST) head-mounted displays use a mask to reduce the effect of external light on virtual objects. The mask blocks the external light, and occlusion is applied to the optical system to provide depth cues to users. Unlike hard-edge occlusion, soft-edge occlusion implements occlusion using only one mask, which creates blur because it is out of focus. And because the blur affects the virtual objects and background, the precise blur calculation should be applied at the occlusion to improve performance and derive a new pattern on the mask. This study used a Gaussian kernel to analyze blur, but the process may not accurately represent the point spread function (PSF) under out-of-focus conditions. Hence, the researchers addressed this limitation by adjusting the shape and the scale parameters of the generalized Gaussian.
Keyword:
Optical see-through
head-mounted display
blur kernel
soft-edge occlusion
out-of-focus
期刊
IF:
3.4
论文数:
236
被引数:
778
机构
引用论文
Song, F.; Chen, Q.; Tang, X.; Xu, F. Analytical Model of Point Spread Function under Defocused Degradation in Diffraction-Limited Systems: Confluent Hypergeometric Function. Photonics 2024, 11, 455. [Google Scholar] [CrossRef]Song, F.; Chen, Q.; Tang, X.; Xu, F. 衍射受限系统中离焦退化条件下点扩散函数的分析模型：合流超几何函数. Photonics 2024, 11, 455. [Google Scholar] [CrossRef].png)
IF0
PREAI
分享收藏
查看更多内容