English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49378/84106 (59%)
造訪人次 : 7370250      線上人數 : 50
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96051


    題名: 小波轉換係數組之適應性分類用於影像壓縮編碼
    其他題名: Image Compression Coding Via Adaptive Classified of Wavelet Coefficients Set
    作者: 謝景棠;陳衍良
    貢獻者: 淡江大學電機工程學系
    關鍵詞: 小波轉換;影像壓縮;小波係數;霍夫曼編碼;Wavelet tranform;Image compression;Wavelet coefficient;Huffman code
    日期: 2000-03
    上傳時間: 2014-02-13 11:39:37 (UTC+8)
    摘要: 本文提出以小波轉換為基礎之一套新的影像編碼技術,是利用經由小波轉換係數 值有接近於灰階度零的效果,及其擁有正負二值的類型將小波係數以四個係數為 一組的小波係數組做為編碼的依據。這種設計方式可避免因訓練產生區域性的最 佳化。其訓練方式是利用歐幾里得最小距離,經由反覆訓練產生最佳的小波係數 組。而這些小波係數組再利用Huffman編碼法進行編碼。實驗結果證明本方法與 傳統的小波轉換編碼技術比較,可達到更高品質、更低位元率的影像壓縮。
    Image compression coding has high potential on some applications in our life. It can be used in a wide range of application. Such as the storage of the digital camera, multimedia transmission in network, image database, etc. As a result, in the recent years many researchers have proposed relevant methods and systems for image compression. In this paper, we proposed the image compression system is based on Discrete Wave-let Transform (DWT). The wavelet coefficients is divide into Wavelet Coefficient Set (WCS) that will be coded. This system is composed of three parts: In the first part is image spatial transform. It extract wavelet coefficient by mutual orthogonal feature with wavelet function and scaling function of DWT. In the second part is training WCS. It can be replace original coefficient by trained coefficient set. In the third stage is coding method. It is coded by huffman coding to replace with original one to reduce to the bit rate of compression. In this system, we use 3 popular testing graphics for compression. Compare with the other compression method in PSNR's and bpp's, it has the better effect, too. We use subband with rim detection by DWT in application. It put to use the advantage sufficiently, and extract better effect, too.
    關聯: 銘傳大學展望新世紀國際學術研討會資訊組論文集=Proceedings of INTERNATIONAL ACADEMIC CONFERENCE FOR THE NEW MILLIEUM,頁521-527
    顯示於類別:[電機工程學系暨研究所] 會議論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    小波轉換係數組之適應性分類用於影像壓縮編碼_中文摘要.docx15KbMicrosoft Word85檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋