H.264/AVC 畫面內降取樣編碼之研究

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姓名

李家逸(Jia-Yi Lee) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

H.264/AVC 畫面內降取樣編碼之研究
(Downsampling Video Coding for Intra Framein H.264/AVC)

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摘要(中)

為了增加H.264/AVC編碼性能，近年來已經有許多研究針對H.264/AVC提出改良的演算法，在文獻[6]中利用了降取樣與預測的技術以提升H.264/AVC的編碼性能，但因影像在經過降取樣會發生許多高頻細節的損失，導致升取樣後的影像品質會受其影響，雖然文獻中提出可適性內插預測法，針對不同的畫面利用不同的濾波器係數提升畫面品質，但畫面中每個區域的邊界特性不同，所以增進的效能有限。因此在本論文第三章，我們提出高頻成分補償演算法來補償影像高頻細節的部分。接著，我們提出可適性迴路濾波器，針對畫面中不同的區域特性利用不同的濾波器係數提升畫面品質。最後由實驗結果可以得知，合併之後的演算法總共可以達到3.98%的位元率增益。

摘要(英)

In order to improve the coding performance of H.264, many algorithms are developed in recent years. Divide-and-predict algorithm [6] takes use of downsampling and upsampling technique to improve the video quality. However, the image will lose some high frequency component when image downsampling and the quality of prediction image will be worse. The proposed adaptive interpolation [6] uses different filter coefficients to enhance the quality for every frame but edge features of every region are different. Therefore the improving coding performance is limited. For this reason, we propose directional interpolation to compensate the high frequency component for the image in CH3. For different feature of region in each frame, we apply adaptive loop filter to enhance the quality of prediction image with different filter coefficients. We make a combination of our proposed algorithms, and the experimental results show that the proposed algorithms can achieve about 3.98% bit-rate saving on average.

關鍵字(中)

★ 降取樣與預測技術
★ 可適性迴路濾波器
★ 方向性內插預測技術
★ 影像高頻補償

關鍵字(英)

★ directional interpolation
★ adaptive loop filter
★ high frequency compensation

論文目次

章節目錄
第一章緒論
1.1 簡介...........................................1
1.2 研究動機.......................................2
1.3 論文架構.......................................3
第二章降取樣與預測技術於 H.264 畫面內預測編碼介紹
2.1 H.264 畫面內預測編解碼簡介.....................4
2.1.1 畫面內預測模式介紹...........................5
2.1.2 溫納內插法介紹...............................7
2.2 文獻回顧.......................................7
2.2.1 降取樣與預測技術於H.264 畫面內預測編碼技術...7
2.2.2 基於可適性內插預測法之降取樣與預測技術於
H.264 畫面內預測編碼.........................12
第三章對降取樣影像的高頻成分補償之探討
3.1 高頻補償之介紹.................................19
3.1.1 高頻補償之目的...............................19
3.1.2 高頻偵測之技術...............................22
3.2 高頻補償演算法.................................23
3.2.1 方向性內插之高頻補償技術介紹.................25
3.2.2 不同參考影像情形下之探討.....................30
3.3 實驗結果.......................................34
第四章對降取樣影像的可適性迴路濾波器探討
4.1 可適性迴路濾波器演算法介紹.....................41
4.2 可適性迴路濾波器於不同參考畫面下之探討.........49
4.3 實驗結果.......................................51
4.4 綜合效能比較...................................56
第五章對降取樣影像重建之結論......................61
參考文獻...........................................63

參考文獻

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[20] Joint Video Team software JM12.2
http://iphome.hhi.de/suehring/tml/download/

指導教授

林銀議(Yinyi Lin)

審核日期

2012-7-25

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