DocumentCode :
3168897
Title :
Low complexity binary description wavelet codec
Author :
Bao, Yiliang ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1999
fDate :
1999
Firstpage :
377
Lastpage :
382
Abstract :
This paper presents a new coding algorithm, called the low complexity binary description (LCBiD) wavelet coder, which has an extremely low implementation complexity yet very rich features. LCBiD encodes wavelet coefficients in blocks of fixed size (16,16). Wavelet coefficients of a block are only taken from a single subband. No inter-subband correlation is exploited so that no specific requirement is imposed on how wavelet coefficients are generated. Each block is encoded using binary context-based bitplane coding. A (16,16) block is usually much smaller than a subband, and a block can become significant much later than a subband. A block skipping technique is employed to bypass one layer of zeros if a block is insignificant at the current quantization threshold. In other words, a separate bitstream is generated to describe the significance of blocks. Because much less zeros are encoded, both the coding speed and efficiency are increased greatly. A separate arithmetic coder set is used for each bitplane, and all coders are reset at the beginning of each subband. Thus, each bitplane of every subband in the compressed file can be directly accessed, and decoded almost independently. The only constraint is that all bitplanes of one subband must be decoded in the correct order. In order to reduce the overall number of arithmetic coders, very simple coding contexts are defined. The image codec has a very good coding performance, and the compressed file is quality and resolution scalable, and resilient to transmission errors
Keywords :
arithmetic codes; codecs; computational complexity; image coding; transform coding; wavelet transforms; LCBiD wavelet coder; arithmetic coder; binary context-based bitplane coding; block skipping technique; coding algorithm; image codec; low complexity binary description wavelet coder; quality scalable; resolution scalable; transmission errors resilient; wavelet coefficients; Algorithm design and analysis; Arithmetic; Codecs; Decoding; Image coding; Quantization; Scalability; Transform coding; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 1999 IEEE 3rd Workshop on
Conference_Location :
Copenhagen
Print_ISBN :
0-7803-5610-1
Type :
conf
DOI :
10.1109/MMSP.1999.793867
Filename :
793867
Link To Document :
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