Precise depth map upsampling and enhancement based on edge‐preserving fusion filters

Autor: Ting‐An Chang, Jar‐Ferr Yang
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: IET Computer Vision, Vol 12, Iss 5, Pp 651-658 (2018)
Druh dokumentu: article
ISSN: 1751-9640
1751-9632
DOI: 10.1049/iet-cvi.2017.0336
Popis: A texture image plus its associated depth map is the simplest representation of a three‐dimensional image and video signals and can be further encoded for effective transmission. Since it contains fewer variations, a depth map can be coded with much lower resolution than a texture image. Furthermore, the resolution of depth capture devices is usually also lower. Thus, a low‐resolution depth map with possible noise requires appropriate interpolation to restore it to full resolution and remove noise. In this study, the authors propose potency guided upsampling and adaptive gradient fusion filters to enhance the erroneous depth maps. The proposed depth map enhancement system can successfully suppress noise, fill missing values, sharpen foreground objects, and smooth background regions simultaneously. Their experimental results show that the proposed methods perform better in terms of both visual and subjective metrics than the classic methods and achieve results that are visually comparable with those of some time‐consuming methods.
Databáze: Directory of Open Access Journals
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