A low-complexity soft VLC decoder using performance modeling

Tsu Ming Liu*, Chen-Yi Lee

*Corresponding author for this work

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

In this paper, we propose a scalable soft VLC decoder to greatly reduce overall design complexity. Generally, the soft VLC decoder needs to maintain many states for the correct decoding when the table size grows. We reduce the table size by using a symbol-merging scheme. We merge two symbols with the same prefix into one. Further, to achieve the optimal trade-off between performance and complexity, we propose a Black-Box model. In our model, we present a novel measurement of "symbol-alias" to improve the accuracy of performance estimation. Experimental results show that our scalable soft VLC decoder using performance modeling has more than 1dB PSNR gain and offers better subjective quality compared to traditional VLC decoding.

Original languageEnglish
Pages (from-to)3233-3236
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
StatePublished - 1 Dec 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 18 Oct 200421 Oct 2004

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