Open AccessStructure tensor based in‐loop filter for depth video coding
Author(s) -
Hu Jinhui,
Hu Ruimin,
Wang Zhongyuan
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2013.3476
Subject(s) - pixel , coding (social sciences) , structure tensor , computer vision , computer science , artificial intelligence , filter (signal processing) , algorithmic efficiency , algorithm , mathematics , image (mathematics) , statistics
A structure tensor based in‐loop filter to remove the compression artefacts in depth video coding is proposed. Instead of involving all neighbouring depth pixels in the joint filtering process, the algorithm chooses one neighbouring depth pixel as the filter output from a reliable neighbour region which is adaptively determined by a structure tensor analysis. It can effectively reduce the negative influence of the non‐similar neighbouring depth pixels and improve the quality of the synthesised virtual views. The experimental results show that the proposal is more effective in improving the depth video coding efficiency.