• DocumentCode
    669780
  • Title

    Degradation algorithm of compressive sensing for integer DCT with application to H. 264/AVC

  • Author

    Shiunn-Jang Chern ; Che-Wei Wu ; Ching-Tang Hsieh

  • Author_Institution
    Dept. of Electr. Eng., Tamkang Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    Compressive sensing (CS) is an innovative approach for the acquisition of signals having a sparse or compressible representation in some basis. In this paper, we extend and modify the previous compression work that uses the degradation algorithm of CS for JPEG with 2-D DCT to the H.264/AVC with the integer 2-D DCT. Through simulation results we show that the complexity with the new proposed scheme can be dramatically reduced, and simultaneously to achieve better PSNR performance compared with the conventional CS approach using the 2-D DCT transform.
  • Keywords
    compressed sensing; data compression; discrete cosine transforms; video codecs; video coding; CS approach; H.264-AVC; JPEG; PSNR performance; compressible representation; compressive sensing; degradation algorithm; integer 2D DCT; signal acquisition; sparse representation; Compressed sensing; Degradation; Discrete cosine transforms; Quantization (signal); Sparse matrices; Video coding; PSNR; compressive sensing; degradation algorithm; dimensionality reduction; integer 2D-DCT; sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
  • Conference_Location
    Naha
  • Print_ISBN
    978-1-4673-6360-0
  • Type

    conf

  • DOI
    10.1109/ISPACS.2013.6704519
  • Filename
    6704519