DocumentCode :
3355746
Title :
Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters
Author :
Yapici, Y. ; Demir, Begum ; ve Oguzhan Urhan, S.E.
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu Veziroglu Yerleskesi, Kocaeli Univ., Izmit
fYear :
2007
fDate :
11-13 June 2007
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, a multiple description image coding scheme is proposed to facilitate the transmission of images over media with possible packet loss. The proposed method is based on finding the optimal reconstruction filter coefficients that will be used to combine the multiple descriptions, based on least squares minimization. Firstly, the original image is down sampled and each sub-image is coded using standard JPEG. These decoded images are then mapped to the original image size using the optimal filters. Multiple descriptions consist of coded down sampled images and the corresponding optimal reconstruction filter coefficients. It is shown that the proposed method gives superior results compared with standard interpolation filters (i.e .bicubic and bilinear).
Keywords :
decoding; filtering theory; image coding; image sampling; least squares approximations; downsampling based multiple description image coding; image decoding; image sampling; least squares minimization; optimal reconstruction filters; original image size; standard JPEG; standard interpolation filters; Code standards; Discrete cosine transforms; Filters; Image coding; Image reconstruction; Least squares methods; Minimization methods; Modulation coding; Propagation losses; Pulse modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
Type :
conf
DOI :
10.1109/SIU.2007.4298731
Filename :
4298731
Link To Document :
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