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Video compression and rate control methods based on the wavelet transform

Balster, Eric J
http://rave.ohiolink.edu/etdc/view?acc_num=osu1086098540

Abstract Details

2004, Doctor of Philosophy, Ohio State University, Electrical Engineering.
Wavelet-based image and video compression techniques have become popular areas in the research community. In March of 2000, the Joint Pictures Expert Group (JPEG) released JPEG2000. JPEG2000 is a wavelet-based image compression standard and predicted to completely replace the original JPEG standard. In the video compression field, a compression technique called 3D wavelet compression shows promise. Thus, wavelet-based compression techniques have received more attention from the research community. This dissertation involves further investigation of the wavelet transform in the compression of image and video signals, and a rate control method for real-time transfer of wavelet-based compressed video. A pre-processing algorithm based on the wavelet transform is developed for the removal of noise in images prior to compression. The intelligent removal of noise reduces the entropy of the original signal, aiding in compressibility. The proposed wavelet-based denoising method shows a computational speedup of at least an order of magnitude than previously established image denoising methods and a higher peak signal-to-noise ratio (PSNR). A video denoising algorithm is also included which eliminates both intra- and inter-frame noise. The inter-frame noise removal technique estimates the amount of motion in the image sequence. Using motion and noise level estimates, a video denoising technique is established which is robust to various levels of noise corruption and various levels of motion. A virtual-object video compression method is included. Object-based compression methods have come to the forefront of the research community with the adoption of the MPEG-4 (Motion Pictures Expert Group) standard. Object-based compression methods promise higher compression ratios without further cost in reconstructed quality. Results show that virtual-object compression outperforms 3D wavelet compression with an increase in compression ratio and higher PSNR. Finally, a rate-control method is developed for the real-time transmission of wavelet-based compressed video. Wavelet compression schemes demand a rate-control algorithm for real-time video communication systems. Using a leaky-bucket design approach, the proposed rate-control method manages the uncertain factors in both the acquisition time of the group of frames (GoF), computation time of compression/decompression algorithms, and network delay. Results show good management and control of buffers and minimal variance in frame rate.
Yuan Zheng (Advisor)
142 p.
Wavelets; image denoising; video denoising; object-based compression; video rate control

Recommended Citations

Citations

  • Balster, E. J. (2004). Video compression and rate control methods based on the wavelet transform [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1086098540

    APA Style (7th edition)

  • Balster, Eric. Video compression and rate control methods based on the wavelet transform. 2004. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1086098540.

    MLA Style (8th edition)

  • Balster, Eric. "Video compression and rate control methods based on the wavelet transform." Doctoral dissertation, Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1086098540

    Chicago Manual of Style (17th edition)

osu1086098540
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© 2004, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.
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