利用渲染方法改善 HEVC 畫面內預測之研究

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姓名

張玉(Zhang Yu) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

利用渲染方法改善 HEVC 畫面內預測之研究
(Improving HEVC Intra Prediction with Inpainting Method)

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摘要(中)

HEVC 是以H.264/AVC 為基礎的最新制定的影像壓縮標準。在這個標準中應用了很多有效的壓縮算法，能夠用很少的位元率來表示一段影像。HEVC 的幀內預測算法增加了預測模式，改善了預測的準確度，能夠獲得比H.264/AVC 更好的壓縮效率。但是，HEVC 的幀內預測算法依然有改善的空間，在這篇論文中，我們提出了利用渲染方法（inpainting method）改善幀內預測效果的方法。渲染方法的特點是更多的考慮了像素之間的相關性，相距越近的像素關聯性越強，因此這樣的算法能夠更好地保持預測區塊與參考邊界之間的連續性，在某些情況下獲得比原HEVC 預測算法更準確的預測。最後實驗結果表明，由HEVC 幀內預測方法和inpainting 預測方法結合性預測方法，比HEVC 幀內預測節省3.81%的位元率。

摘要(英)

HEVC is the most recently established video coding standard based on H.264/AVC. There are many useful compression algorithms used in this standard and it could represent a video by less bitrate. HEVC added prediction modes in the intra frame prediction algorithm, by which HEVC could predict more precisely, and thus attain better compression efficiency than H.264/AVC. However, there are also other methods that could improve HEVC intra frame prediction. In this paper, we adopt the inpainting method to improve the HEVC intra prediction performance. The advantage of inpainting method is it considers the relativity between the neighbor pixels, the closer the pixels are, the more relative between them. So this method could preserve the continuity between the reference edge and the predicted block. In many circumstances, the inpainting method predict more precisely than the original HEVC intra frame prediction method. The experiment shows that, the hybrid algorithm by
both inpainting and original method could save about 3.81% bitrate than the original HEVC intra frame method.

關鍵字(中)

★ HEVC
★ 幀內預測算法
★ 渲染算法

關鍵字(英)

★ HEVC video coding
★ intra frame prediction
★ inpainting

論文目次

第一章緒論
1.1 HEVC 簡介 1
1.2 研究動機 3
1.3 論文架構 3
第二章 HEVC 幀內預測方法探討
2.1 HEVC 幀內預測方法簡介 5
2.1.1 Planar 預測模式 8
2.1.2 DC 預測模式 8
2.1.3 角度預測模式 9
2.2 HEVC 幀內DC 與角度預測方式的缺點 12
2.2.1 DC 預測的缺點 12
2.2.2 角度預測的缺點 15
2.3 Inpainting 預測方法簡介 19
2.3.1 Image inpainting 簡介與文獻回顧 19
2.3.2 Laplace equation 解決inpainting 問題 21
2.3.3 Inpainting 方法的DC 預測模式 24
2.3.4 Inpainting 方法的角度預測模式 30
2.4 用Inpainting方法預測更好的區塊的特徵 36
2.5 Inpainting 方法的優缺點分析 38
第三章結合性幀內預測方法的效能分析
3.1 Inpainting 預測方法與HEVC 幀內預測方法的結合性演算法 40
3.2 Inpainting 預測方法結合HEVC 幀內預測方法的預測效能分析 44
3.3 實驗結論與優缺點分析 55
第四章結合性的 HEVC 幀內預測的優化
4.1 Inpainting 預測與HEVC 幀內預測結合性預測方法的缺點 56
4.2 利用統計特性優化結合性預測方法 57
4.2.1 去除不常見模式的結合性預測方法 57
4.2.2 HEVC 角度預測與inpainting 角度預測模式分佈情況分析 58
4.3 利用HEVC 角度預測做inpainting 角度預測模式的快速決策演算法 61
第五章結論與未來展望 68
參考文獻70

參考文獻

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指導教授

林銀議

審核日期

2013-7-19

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