Title
Deblocking Filtering for Illumination Compensation in Multiview Video Coding
Abstract
A deblocking filtering method that reduces the blocking artifacts that result from the use of the illumination change-adaptive motion compensation method, which was already adopted in the current multiview video coding (MVC) standard, is introduced. When the macroblock (MB)-based illumination compensation method is used to compensate local illumination changes in multiview video sequences, the neighboring MBs could have different illumination values that represent the average values of the luminance MBs, horizontally and vertically. This phenomenon causes horizontal/vertical blocking artifacts on the MB boundaries due to the difference in illumination between the neighboring MBs. The proposed deblocking filtering method is designed to reduce this phenomenon by using the adequately modified boundary strength derivation process of the current H.264/AVC deblocking filtering mechanism. The proposed deblocking filtering method improves the subjective video quality and provides slightly better objective video quality in multiview video sequences.
Year
DOI
Venue
2008
10.1109/TCSVT.2008.2002890
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
h.264/avc,motion compensation,deblocking filtering,video sequences,subjective video quality,different illumination value,deblocking filter,proposed deblocking,multiview video coding (mvc),objective video quality,local illumination change,illumination compensation,illumination compensation method,illumination change-adaptive motion compensation,multiview video coding,video coding,image sequences,neighboring mbs,boundary strength derivation process,filtering theory,current multiview video coding,h.264/avc deblocking filtering method,multiview video sequence,design methodology,low pass filters,lighting,video quality,filtering
Macroblock,Computer vision,Pattern recognition,Computer science,Motion compensation,Image quality,Multiview Video Coding,Image processing,Subjective video quality,Artificial intelligence,Video quality,Deblocking filter
Journal
Volume
Issue
ISSN
18
10
1051-8215
Citations 
PageRank 
References 
4
0.79
3
Authors
5
Name
Order
Citations
PageRank
Gwang Hoon Park1497.65
Min Woo Park2123.92
Sung-Chang Lim3163.26
Woo Sung Shim440.79
Yung-Lyul Lee525929.12