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Research and implementation of video compression method based on wavelet analysis

Author: LuGang
Tutor: ZuoJingWen
School: Xiamen University
Course: Radio Physics
Keywords: Video Compression Wavelet Analysis DSP technology
CLC: TP391.41
Type: Master's thesis
Year: 2002
Downloads: 231
Quote: 2
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Abstract


The digitized information, especially the digitized video and audio information having a data mass, to cause greater difficulties in the storage and transmission of information. Therefore, research and development of new and effective multimedia data compression encoding method is very necessary. The wavelet transform coding is the transform coding method in the image processing. Its ability to comply with the human visual physiological and psychological characteristics of the original image in the frequency domain, multi-layer decomposition The ideal transform domain compression coding method, the goal of this project is to study a variety of video compression based on wavelet analysis method and its real-time performance and implement the relevant part of the DSP board. The subject of the following work: ● the preparation of a single image based on wavelet decomposition and zerotree coding compression decompression program running under MATLAB. Zero-tree algorithm is better wavelet coefficients of an effect scanning encoding method to remove the strong correlation amplitude wavelet coefficients between the different scales. ● single-frame image compression using wavelet decomposition and SPIHT coding method. SPIHT (set partitioning in hierarchical tree) method is the improvements of the zero tree encoding method having higher encoding efficiency. The preparation of a program written in C language. ● multi-frame image compression using wavelet decomposition domain motion estimation method. The method may ensure that the intraframe and interframe coding process is always within the wavelet decomposition, the motion estimation operation ratio of a block matching the full search method is much smaller. Performance testing related to the preparation process in MATLAB. ● TMS320C6701 evaluation board using wavelet decomposition and SPIHT single image in real time compression. In order to improve the speed of the codec, image wavelet decomposition and synthesis program entirely C6701 written in assembly instructions, including extensive use of parallel instruction pipeline optimization and greatly reduce the computation time. PCI interface for high-speed image data exchange between the host and the DSP evaluation board. As can be seen from the results, when the image compression rate is higher, using the decoded image based on the image compression scheme of the wavelet analysis can maintain a clear outline, no block effect of the pressure of the DCT block encoding. By setting the compression program input parameters stepless control image compression ratio. After careful debugging DSP wavelet decomposition the synthesis block run maximum speed reached C6701. Due to time constraints, only the wavelet domain motion prediction method simulation and performance testing. Simulation results show that the overall sense of the decoded image reconstruction, no block matching search method block contour encoding speed and the number of blocks on the search method. Wavelet decomposition of the SPIHT coding wavelet domain motion prediction method for video compression on DSP has good practicality, if real-time video signal acquisition system to form a complete video capture and compression system.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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