DocumentCode :
590287
Title :
Deblocking filter for artifact reduction in distributed compressive video sensing
Author :
Khanh Quoc Dinh ; Shim, Hyunjung ; Byeungwoo Jeon
Author_Institution :
Sch. of Electron. & Electr. Eng., Sungkyunkwan Univ., Suwon, South Korea
fYear :
2012
fDate :
27-30 Nov. 2012
Firstpage :
1
Lastpage :
5
Abstract :
The distributed compressive video sensing (DCVS) poses itself as a very promising framework for future video coding on mobile devices due to its very low complexity at the encoder not only in sampling but also in compression. However its blocking artifacts and oscillatory artifacts especially in high-frequency components seriously degrade perceptual quality. In this paper, we try to solve both problems of the high-frequency oscillatory and blocking artifacts as a whole by a proposed deblocking filter. By differentiating those well-decoded blocks from poorly-decoded blocks using concept of reliability, the proposed method can improve DCVS framework in both objective and subjective qualities.
Keywords :
compressed sensing; filtering theory; reliability; video coding; DCVS; artifact reduction; blocking artifacts; deblocking filter; distributed compressive video sensing; high-frequency components; high-frequency oscillatory; mobile devices; objective quality; oscillatory artifacts; perceptual quality; poorly-decoded blocks; reliability concept; subjective quality; video coding; well-decoded blocks; Image reconstruction; Low pass filters; Reliability; Silicon; Video coding; Wiener filters; DCVS; artifact reduction; blocking artifact; high-frequency oscillatory artifact; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4405-0
Electronic_ISBN :
978-1-4673-4406-7
Type :
conf
DOI :
10.1109/VCIP.2012.6410770
Filename :
6410770
Link To Document :
بازگشت