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論文名稱 Title |
影像向量量化的區塊索引壓縮方法 Compression on the Block Indexes in Image Vector Quantization |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
50 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2001-06-01 |
繳交日期 Date of Submission |
2001-07-02 |
關鍵字 Keywords |
向量壓縮 vector quantization |
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統計 Statistics |
本論文已被瀏覽 5725 次,被下載 21 次 The thesis/dissertation has been browsed 5725 times, has been downloaded 21 times. |
中文摘要 |
將向量壓縮再壓縮 |
Abstract |
The vector quantization (VQ) technique uses a codebook containing block patterns with corresponding index on each of them. In this thesis, we simple TSP (traveling salesperson) scheme in the VQ (vector quantization) index compression. The goal of this method is to improve bit ratio scheme with the same image quality. We apply the TSP (traveling salesperson) scheme to reorder the codewords in the codebook such that the di erence between the indexes in neighboring blocks of the image becomes small. Then, the block indexes in the image are remapped according to the reordered codebook. Thus, the variation between two neighboring block indexes is reduced. Finally, we compress the block indexes of the image with some lossless compression methods. Adding our TSP scheme as a step in VQ (vector quantization) index compression really achieves signi cant reducxtion of bit rates. Our experiment results show that the bpp (bits per pixel) in our method is less than the bpp of those without the TSP scheme. |
目次 Table of Contents |
TABLE OF CONTENTS Page LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 Chapter 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Chapter 2. Vector Quantization (VQ) . . . . . . . . . . . . . . . . . . . 3 2.1 The LBG Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.2 The LDF Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Chapter 3. Lossless Compression Methods . . . . . . . . . . . . . . . . 10 3.1 Set Partitioning in Hierarchical Trees(SPIHT) . . . . . . . . . . . . . 11 3.2 Context-based, Adaptive, Lossless Image Coding (CALIC) . . . . . . 16 3.3 Search-Order Coding (SOC) . . . . . . . . . . . . . . . . . . . . . . . 21 3.4 Address VQ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Chapter 4. The TSP Scheme for VQ Indexes . . . . . . . . . . . . . . 24 4.1 An Algorithm for the Traveling Salesperson Problem (TSP) . . . . . 25 4.2 Our Indexes Compression Algorithm . . . . . . . . . . . . . . . . . . 28 Chapter 5. Experimental Results . . . . . . . . . . . . . . . . . . . . . . 31 Chapter 6. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 |
參考文獻 References |
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