.png){kind=icon}
返回
Depth map upsampling with a confidence-based joint guided filter
.png){kind=icon}
PRE
AI
DOI：10.1016/j.image.2019.05.014.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Depth maps are often obtained simultaneously alongside color images, but their resolution is much lower than that of the respective color images. This paper proposes a confidence-based joint guided filter for depth map upsampling using corresponding color information. Many previous studies have been conducted to incorporate color images into the estimation of upsampling filter coefficients. The scheme proposed in this paper instead focuses on the order of the filter for unreliable pixel refinement, and the order is calculated using the confidence map derived from the shape of unreliable regions, depth map, and color pixel values. In terms of quantitative and qualitative measurements, the proposed method demonstrates superior performance over current state-of-the-art algorithms.
Keyword:
Upsampling
Super-resolution
Depth map
Confidence map
Guided filter
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
S
IF:
2.7
论文数:
2.8K
被引数:
4.2K
机构
引用论文
.png){kind=icon}
分享收藏Prevalence of aortic valve abnormalities in the elderly: An echocardiographic study of a random population sample老年人主动脉瓣异常的患病率: 随机人群样本的超声心动图研究
PREAI
分享收藏分享收藏
查看更多内容