臺灣博碩士論文加值系統

本論文為研製當人在一個很大的圖像資料庫裡瀏覽影像和靜態改變圖像的ROI(感興趣之範圍)時呈現的效果的關切程度都莫過於ROI改變的精確度。但許多的技術都在於討論JPEG2000靜態ROI與動態ROI的編碼架構，並沒有討論到在瀏覽影像資料庫呈現時速度的編碼處理。
在本論文裡基於多序列的命令與混和靜態ROI與動態ROI編碼樣式，我們提出一個經過適當安排的編碼文件可以縮短硬碟從取時間和經編碼複雜度的不同來減少編碼的時間的方法，實驗結果表明，其性能更為提升。

When users have to browse images in a large image database and may dynamically change ROIs, the performance view become more important than quality view. Many techniques have been presented for both static and dynamic ROI (Region of Interest) coding for JPEG2000 standard. However, none of them discussed the performance view of the decoding process for browsing image database. In this paper, based on the multiple progression orders and a mixed static and dynamic ROI coding style, we propose a method to shorten the hard-disc access time via an appropriate arrangement of the coded file, and shorten the decoding time via an incremental reformation of a file. Experimental results show that the performance is much better than the one with a single progression order.

摘 要 i
ABSTRACT ii
誌 謝 iii
目 錄 iv
圖目錄 vii
表目錄 xiii
一、緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究方法與系統描述 2
二、JPEG 2000壓縮 3
2.1 JPEG 2000慨要 3
2.2 前處理 5
2.3 核心處理 9
2-3-3 Convolution Technique of DWT 14
2.3.4 2-D- Discrete Wavelet Transform 23
2.3.5 Quantization 26
2.4 組成位元流 27
2.4.1 Tier1-Encoder 27
2.5 Tier2-Encoder 32
2.5.1 編碼串流結構 36
2.6 Region Of Interest 37
2.6.1 MaxShift 39
三、系統架構 43
3.1 系統組成架構 43
3.2 系統架構說明 44
3.3 功能原理說明 45
四、系統流程 46
4.1 如何增加瀏覽效率 47
4.1.1 可由解碼端決定ROI範圍 47
4.1.2 降低編碼端的編碼複雜度 47
4.1.3 高壓縮與清晰度 60
4.1.4 初始影像人臉偵測 61
五、系統實現 62
5.1 影像擷取的系統程式流程 63
5.2 人臉偵測與影像編碼的系統程式流程 64
5.3 JPEG2000定義新ROI流程 66
5.4 擷取影像介面 68
5.5 人臉偵測與圖像壓縮介面 69
5.6 JPEG2000圖像瀏覽介面 70
5.7 影像擷取介面介紹 72
5.8 人臉偵測與圖像壓縮介面介紹 77
5.9 JPEG2000圖像瀏覽介面介紹 81
5.10 kakadu-編碼核心使用介紹 82
5.11 kakadu-JPEG2000圖像瀏覽使用介紹 88
六、實驗結果 92
七、結論 109
八、參考文獻 111
附 錄 一、JPEG 2000制定標準 114
附 錄 二、視訊擷取函數 115
基本資料 117
自 傳 120

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