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URN etd-0726105-173734 Statistics This thesis had been viewed 3182 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 Date of Defense 2005-07-07 Date of Submission 2005-07-26