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博碩士論文 etd-0713100-153129 詳細資訊
Title page for etd-0713100-153129
論文名稱
Title
輻射基底函數類神經網路漸進式影像傳輸方法
An RBF Neural Network Method for Image Progressive Transmission
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
68
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2000-06-30
繳交日期
Date of Submission
2000-07-13
關鍵字
Keywords
輻射基底函數、影像壓縮、漸進式影像傳輸
RBF, Image Transmission, Image Compression
統計
Statistics
本論文已被瀏覽 5657 次,被下載 2622
The thesis/dissertation has been browsed 5657 times, has been downloaded 2622 times.
中文摘要
影像傳輸在目前網路普及的時代已經日益重要,然而影像十分地消耗電腦的儲存容量及傳輸資源,尤其在網路的傳輸上,大的影像資料需要大量的時間來進行影像傳輸。故影像的傳輸經常佔用了大量網路頻寬資源。
本論文則研究利用輻射基底函數類神經網路的架構及Chen and Billings(1992)提出的正交最小平方(orthogonal least square, OLS)學習法則為其礎,並配合階段學習的技巧以漸進式影像傳輸(progressive image transmission, PIT)方式,減輕影像在傳輸上所造的問題。
Abstract
None
目次 Table of Contents
摘要 III
目錄 IV
圖目錄 VI
表目錄 IX
第一章 緒論 1
1.1 前言 1
1.2 研究動機 2
1.3 論文架構 4
第二章 網路架構與正交最小平方法則 5
2.1 網路架構 5
2.2 正交最小平方法則 7
第三章 影像壓縮 11
3.1 有耗損影像壓縮 11
3.2 影像資料的重複性 12
3.3 影像保真度 14
3.4 SVD影像壓縮 15
第四章 區塊式輻射基底函數影像壓縮 19
4.1 區塊影像切割 19
4.2 中心點的選取及寬度值的計算 22
4.3 區塊式RBF影像壓縮結果 24
4.4 自適應區塊式RBF影像壓縮學習法 33
第五章 漸進式輻射基底函數影像壓縮及傳輸 45
5.1 位元平面法 45
5.2 漸進式RBF影像傳輸原理 47
5.3 漸進式RBF影像傳輸的學習進階方式 49
5.4 漸進式RBF影像傳輸的結果 50
第六章 影像誤差的補償 59
6.1 霍夫曼編碼法 59
6.2 誤差補償的結果 61
第七章 結論 64
參考文獻 65
參考文獻 References
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