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研究生:許進順
研究生(外文):Chin-Hsun Hsu
論文名稱:階層式的二次相減計量方法及多重解析位移預測
論文名稱(外文):Hierarchical SDD Metric and Multiresolution Motion Estimation
指導教授:楊竹星楊竹星引用關係
指導教授(外文):Chu-Sing Yang
學位類別:碩士
校院名稱:國立中山大學
系所名稱:資訊工程學系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:37
中文關鍵詞:影像比對子波指換樹狀結構
外文關鍵詞:wavelet transformzero-tree codingmotion estimation
相關次數:
  • 被引用被引用:0
  • 點閱點閱:228
  • 評分評分:
  • 下載下載:19
  • 收藏至我的研究室書目清單書目收藏:0
在這個論文裡有一個新的具階層式的二次相減計量方法被提出,主要是要與傳統的絕對誤差和計量方法比較,讓這個具有箝入式編碼認知的計量方法在多重解析位移預測的架構之下能夠同時結合空間與時間上的位移比對,具有空間跟時間上比對的觀念的計量方法將可以使得位移補償後的所呈現的金字塔形狀更為良好,主要的原因是我們減少了要用來表示獨立點的資訊,而比較出來的結果顯示新的方法比它的對手要來的好,尤其是在較高壓縮比的情形之。
In this paper a novel Hierarchical Sum of Double Difference metric, HSDD, was introduced. It was shown, as opposed to conventional Sum of Absolute Difference (SAD) metric, how this embedded-coding aware metric can jointly constrain the motion vector searching in both temporal and spatial (quad-tree) directions under multiresolution motion estimation (MRME) framework. The temporal-spatial co-optimization concept from HSDD brings us the motion compensation pyramid with better shape. The reward is that fewer bits are spent later for describing the isolated zeros. The compression performance of HSDD easily exceeds the performance of its competitors, especially when high compression ratios are used.
目錄
一、研究動機及背景知識3
1.1 研究動機3
1.2背景知識3
1.2.1 Wavelet Transform3
1.2.2 SAD6
1.2.3 MRME8
1.2.3 Bit-Level Coding(位元平面編碼)11
1.2.4 動態影像壓縮流程12
二、相關研究探討15
2.1 MAX-TREE 與 WAVELET的關係15
2-2Alisaing16
2-3 Energy Distribution16
三、問題定義18
四、研究方法與步驟19
4.1 HSDD的Metric19
4.2 方塊比對的步驟20
4.3內插方法21
五 實驗成果與貢獻24
六、結論34
七、參考文獻35
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