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 :
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