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author:

Zhou, Ting (Zhou, Ting.) [1] (Scholars:周霆) | Xu, Min (Xu, Min.) [2] | Chen, Dongxia (Chen, Dongxia.) [3] | Yu, Lun (Yu, Lun.) [4] (Scholars:余轮)

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Abstract:

To overcome some drawbacks of Viterbi algorithm (VA), such as exponential growing complexity of decoding, and its poor performance under bad channel conditions, some available known information must be used as constrained condition and apriori knowledge for decoding. A new constrained VA is proposed by adding constraint bits directly for conventional codec. Compared with the conventional VA, under the bad channel condition, the proposed scheme can improve the peak signal to noise ratio (PSNR) of the decoding image 2-10 dB by changing the number of constrained bits. Experimental results show that it is an efficient error-controlling way for the transmission of set partitioning in hierarchical trees (SPIHT) coded image.

Keyword:

Decoding Forestry Hierarchical systems Image coding Image communication systems Image enhancement Signal to noise ratio Trees (mathematics) Viterbi algorithm

Community:

  • [ 1 ] [Zhou, Ting]College of Information Engineering, Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Xu, Min]College of Information Engineering, Fuzhou University, Fuzhou 350002, China
  • [ 3 ] [Chen, Dongxia]College of Information Engineering, Fuzhou University, Fuzhou 350002, China
  • [ 4 ] [Yu, Lun]College of Information Engineering, Fuzhou University, Fuzhou 350002, China

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Source :

Transactions of Nanjing University of Aeronautics and Astronautics

ISSN: 1005-1120

CN: 32-1389/V

Year: 2008

Issue: 2

Volume: 25

Page: 155-159

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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