• DocumentCode
    3196686
  • Title

    Orthogonal polynomials based low bit rate image coding

  • Author

    Karthikeyan, T. ; Krishnamoorthy, R. ; Praburaj, B.

  • Author_Institution
    Dept. of Comput. Sci., PSG Coll. of Arts & Sci., Coimbatore, India
  • fYear
    2012
  • fDate
    14-15 Dec. 2012
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    In this paper, a new and efficient method for transform coding of 2-D monochrome images based on orthogonal polynomials has been proposed. The proposed orthogonal polynomials based transform coding system has the encoder, consisting of a polynomial transform operation followed by quantization of transform coefficients and the entropy coding of quantized coefficients. After the encoded bit stream of an input image is transmitted over the channel, the decoder reverses all the functionalities applied in the encoder and tries to reconstruct a decoded image that looks as close as possible to the original input image. The result of the proposed coding are compared with the DCT scheme. The new coding algorithm results in a considerable reduction in computation time and provides better reconstructed picture quality.
  • Keywords
    computational complexity; decoding; image coding; image reconstruction; orthogonal codes; polynomials; quantisation (signal); transform coding; transforms; computation time reduction; decoder; encoder; input image encoded bit stream; orthogonal polynomial-based low-bit rate 2D monochrome image transform coding; polynomial transform operation; quantized transform coefficient entropy coding; reconstructed picture quality improvement; Discrete cosine transforms; Entropy; Image coding; Polynomials; Quantization; Transform coding; entropy coding; orthogonal polynomials; quantization; quantized coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing (MVIP), 2012 International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-2319-2
  • Type

    conf

  • DOI
    10.1109/MVIP.2012.6428764
  • Filename
    6428764