eprintid: 1599
rev_number: 8
eprint_status: archive
userid: 21
dir: disk0/00/00/15/99
datestamp: 2016-05-25 03:10:55
lastmod: 2016-05-25 03:14:04
status_changed: 2016-05-25 03:10:55
type: article
metadata_visibility: show
creators_name: Le, Thanh Ha
creators_name: Seung, Won Jung
creators_name: Chee, Sun Won
creators_id: ltha@vnu.edu.vn
title: Reduced Reference Quality Metric for Depth Images
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: In this paper, a new quality metric for depth images is proposed. Unlike the conventional depth metrics which require the additional information such as the ground truth depth image or a stereo image pair, the proposed quality metric demands only a single camera image and its corresponding depth image. In this work, we first empirically observe that the depth distortion is closely related to the local image characteristics. Based on the observation, we introduce a method to assess the local depth distortion for the edge and non-edge regions. Then, the local distortion is adaptively weighted by the Gabor filter and added up to the quality metric for the depth image.
date: 2015
date_type: published
full_text_status: none
publication: Advanced Multimedia and Ubiquitous Engineering, Lecture Notes in Electrical Engineering
volume: Volume
pagerange: 117-122
refereed: TRUE
issn: 1876-1100
citation:   Le, Thanh Ha and Seung, Won Jung and Chee, Sun Won  (2015) Reduced Reference Quality Metric for Depth Images.  Advanced Multimedia and Ubiquitous Engineering, Lecture Notes in Electrical Engineering, Volume .   pp. 117-122.  ISSN 1876-1100