• DocumentCode
    2072359
  • Title

    A multiresolution framework for stereoscopic image sequence compression

  • Author

    Sethuraman, Sriram ; Siegel, M.W. ; Jordan, Angel G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    361
  • Abstract
    Stereoscopic sequence compression typically involves the exploitation of the spatial redundancy between the left and right streams to achieve higher compressions than are possible with the independent compression of the two streams. In this paper the psychophysical property of the human visual system, that only one high resolution image in a stereo image pair is sufficient for satisfactory depth perception, has been used to further reduce the bit rates. Thus, one of the streams is independently coded along the lines of the MPEG standards, while the other stream is estimated at a lower resolution from this stream. A multiresolution framework has been adopted to facilitate such an estimation of motion and disparity vectors at different resolutions. Experimental results on typical sequences indicate that the additional stream can be compressed to about one-fifth of a highly compressed independently coded stream, without any significant loss in depth perception or perceived image quality
  • Keywords
    code standards; image resolution; image sequences; motion estimation; stereo image processing; telecommunication standards; visual perception; MPEG standards; bit rate reduction; depth perception; disparity vector estimation; experimental results; high resolution image; human visual system; image coding; image resolution; motion vector estimation; multiresolution framework; perceived image quality; psychophysical property; spatial redundancy; stereoscopic image sequence compression; Bit rate; Humans; Image coding; Image resolution; Image sequences; MPEG standards; Psychology; Spatial resolution; Streaming media; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413592
  • Filename
    413592