• 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