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Title page for etd-0726105-173734


URN etd-0726105-173734 Statistics This thesis had been viewed 2893 times. Download 1833 times.
Author Tsung-hao Li
Author's Email Address No Public.
Department Communication Engineering
Year 2004 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 82
Title STEREOSCOPIC COLOR IMAGE CODING BASED ON PERCEPTUALLY OPTIMIZED JPEG2000 CODER
Keyword
  • stereoscopic image
  • perceptual coding
  • JPEG2000
  • JPEG2000
  • perceptual coding
  • stereoscopic image
  • Abstract Through the development of the display technology in these years, the 3-D image
    system has become more and more popular. The most obvious difference between 3-D
    and 2-D image is the depth of perception. One of the easiest ways to retrieve a vision with depth is to let the viewer see the left-view image in the image pair with the left eye, and vice versa. Because a stereoscopic image is generated with slight differences in viewing the same scene from different perspectives, lots of stereoscopic visual redundancies actually exist. Therefore, a good stereoscopic algorithm should be able to remove various
    kinds of redundancies.
    In this thesis, we present a stereoscopic color image coder based on perceptually optimized JPEG2000. This algorithm can not only remove the statistical and visual redundancies in single image, but also the stereoscopic visual redundancies that exist inherently in stereo pairs.
    According to the characteristic of human visual perception of stereo images, we can perceive an acceptable visual quality of the stereo pair as the visual quality of one image in the pair is assured. Therefore, the perceptually optimized JPEG2000 coder is exploited in the left-view image in the stereoscopic pair during researches. Because JPEG2000 is the new ISO/ITU standard for still image compression. The multi-resolution wavelet
    decomposition and the two-tier coding structure of JPEG2000 fit in incorporating the human visual model into the coding algorithm. The right-view image of the stereo pair is predicted by disparity estimation. With the right-view image and the predicted image, we can generate a residual. Because we only need a decent visual quality, the residual will only encode the vital information which will affect visual quality.
    Simulation results show that the acceptable visual quality can be obtained at an
    average bit rate of 0.21 bpp with PSNR and PSPNR equal to 33 dB and 38 dB
    respectively. The result shows that our proposed algorithm not only has a good visual quality but also improved the coding efficiency.
    Advisor Committee
  • Chun-hsien Chou - advisor
  • Shuenn-shyang Wang - co-chair
  • Tan-hsu Tan - co-chair
  • Files indicate in-campus access immediately and off-campus access at one year
    Date of Defense 2005-07-07 Date of Submission 2005-07-26


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