DocumentCode :
3022010
Title :
Interpolation based symmetrical predictor structure for lossless image coding
Author :
Jakhetiya, Vinit ; Jaiswal, Sunil Prasad ; Tiwari, Anil Kumar ; Au, Oscar C.
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear :
2012
fDate :
20-23 May 2012
Firstpage :
2913
Lastpage :
2916
Abstract :
Predictor based algorithms reported in literature uses only causal pixels and hence a non-symmetrical predictor structure for prediction. We observed that the performance of predictor is highly dependent on the predictor structure used. In view of this, we propose a novel interpolation based prediction scheme that enables us to use symmetrical predictor structure. In this sense, we have also used non causal pixels in our scheme. Also, from various interpolation algorithms available, we selected a simple one to ensure decoder simplicity, without any significant loss in performance. From performance evaluation, we found that our algorithm is significantly better in terms of compression performance as compared to some of the computationally complex methods.
Keywords :
computational complexity; decoding; image coding; interpolation; predictor-corrector methods; computationally complex methods; decoder simplicity; interpolation; lossless image coding; noncausal pixels; nonsymmetrical predictor structure; Algorithm design and analysis; Decoding; Image coding; Image edge detection; Image reconstruction; Interpolation; Prediction algorithms; Computational complexity; Interpolation; Lossless Image Compression; Symmetrical Predictor Structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
ISSN :
0271-4302
Print_ISBN :
978-1-4673-0218-0
Type :
conf
DOI :
10.1109/ISCAS.2012.6271925
Filename :
6271925
Link To Document :
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