DocumentCode
2830549
Title
Construction of error resilient synchronization codeword for variable-length code in image transmission
Author
Lee, Yew-Sun ; Wei-Shin Chang ; Ho, Hsin-Han ; Lee, Chen-Yi
Author_Institution
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume
3
fYear
2000
fDate
2000
Firstpage
360
Abstract
Variable-length code (VLC), also called Huffman (1952) code, is the most popular data compression technique used for image compression and transmission. But, it is vulnerable to loss of synchronization under transmission in a noisy channel. It will result in large drops in video transmission quality. For stopping error propagation, a synchronization codeword (SC) is mostly used to localize the error propagation effect. However, most of the SC cannot tolerate noise errors. We propose an iterative and efficient algorithm to construct error resilient and variable-length SC for any application defined VLC table. They can be used for synchronization of packet (ERVL-SOP). It can be appended at the end of certain number of symbols to form a packet. Thus, channel noise error can be localized. With the use of the constructed SC as the SOP, the result shows that it can achieve high signal-to-noise ratio (PSNR=26 dB) compared to the use of the normal VLC code as SOP at a bit error rate (BER) of 10-3. In addition, the incorrect ERVL-SOP detection rate can be decreased to less than 0.0013% effectively
Keywords
Huffman codes; data compression; error statistics; image coding; iterative methods; variable length codes; visual communication; BER; Huffman code; PSNR; bit error rate; channel noise error; data compression; detection rate; efficient algorithm; error propagation; error resilient synchronization codeword; high signal-to-noise ratio; image compression; image transmission; iterative algorithm; noise errors; noisy channel; packet synchronization; variable-length code; video transmission quality; Bit error rate; Data compression; Image coding; Image communication; Iterative algorithms; Propagation losses; Signal to noise ratio; Transform coding; Video compression; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899398
Filename
899398
Link To Document