Reduced reference quality metric for depth images

Thanh Ha Le, Seongjo Lee, Seung Won Jung, Chee Sun Won

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 nonedge regions. Then, the local distortion is adaptively weighted by the Gabor filter and added up to the quality metric for the depth image.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - Future Information Technology
EditorsNeil Y. Yen, James J. Park, Han-Chieh Chao, Hamid Arabnia
PublisherSpringer Verlag
Pages117-122
Number of pages6
ISBN (Electronic)9783662474860
DOIs
StatePublished - 2015
Event10th International Conference on Future Information Technology, FutureTech 2015 - Hanoi, Viet Nam
Duration: 18 May 201520 May 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume352
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference10th International Conference on Future Information Technology, FutureTech 2015
Country/TerritoryViet Nam
CityHanoi
Period18/05/1520/05/15

Keywords

  • Depth image
  • Gabor filter
  • Image quality assessment
  • Quality metric
  • Reduced reference

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