DocumentCode
3382644
Title
Line-based image coding using adaptive prediction filters
Author
Peng, Xiulian ; Xu, Jizheng ; Wu, Feng
Author_Institution
MSRA-MOE Joint Key Lab., Univ. of Sci. & Tech. of China, Hefei, China
fYear
2010
fDate
May 30 2010-June 2 2010
Firstpage
4221
Lastpage
4224
Abstract
This paper proposes a line-based approach for image coding. Unlike conventional block-based image coding, the proposed method takes one line as a basic unit in coding and reconstruction. Such a structure allows us to perform better predictions between neighboring units and affords us more flexibility when coding each unit. We also present an efficient prediction method using adaptive prediction filters for this structure. Based on the neighboring information, we apply the best prediction filter on each line to get high-quality predictions. We show that the proposed line-based coding can perform comparatively or even better than the state-of-the-art block-based coding. When combing line-based and block-based coding together, the state-of-the-art image coding can be much improved.
Keywords
adaptive filters; image coding; prediction theory; adaptive prediction filters; block-based image coding; line-based image coding; prediction method; Adaptive filters; Asia; Discrete cosine transforms; Entropy; Image coding; Image reconstruction; Information filtering; Information filters; Prediction methods; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location
Paris
Print_ISBN
978-1-4244-5308-5
Electronic_ISBN
978-1-4244-5309-2
Type
conf
DOI
10.1109/ISCAS.2010.5537573
Filename
5537573
Link To Document