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ETD Abstract Container

Abstract Header

Image/video compression and quality assessment based on wavelet transform

Gao, Zhigang
http://rave.ohiolink.edu/etdc/view?acc_num=osu1187195053

Abstract Details

2007, Doctor of Philosophy, Ohio State University, Electrical Engineering.
Because of the contradiction of the vast data size of raw digital images and videos and the limited transmission bandwidth and storage space, it is essential to develop compression methodologies with high compression ratio and good reconstructed quality. It is also important to develop quality metrics which are consistent with human vision and easy to calculate. The spatial-frequency localization and multi-resolution capabilities of the wavelet transform make it a natural means of signal representation. This work investigates the advantages of the wavelet transform and focuses on the following research topics: 1) An image quality metric that assesses the quality of an image in the wavelet domain; 2) A quality constrained compression algorithm that compresses an image to a desired visual quality; 3) An innovative DWT-based temporal filtering scheme that achieves high compression ratio and reduces the ghost effect without motion estimation; 4) A virtual sub-object video coding scheme that is suitable for applications with static background.
Yuan Zheng (Advisor)
130 p.
DWT-based; Video Compression; 3-D wavelet; Image compression; Image quality assessment; Image quality metric; Object-based; Virtual VOP.

Recommended Citations

Citations

  • Gao, Z. (2007). Image/video compression and quality assessment based on wavelet transform [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1187195053

    APA Style (7th edition)

  • Gao, Zhigang. Image/video compression and quality assessment based on wavelet transform. 2007. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1187195053.

    MLA Style (8th edition)

  • Gao, Zhigang. "Image/video compression and quality assessment based on wavelet transform." Doctoral dissertation, Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1187195053

    Chicago Manual of Style (17th edition)

osu1187195053
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© 2007, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.