應用於高階液晶顯示器之高品質畫面更新率提升轉換技術

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：30

、訪客IP：18.223.172.163

姓名

陳鴻光(Hung-guang Chen) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

應用於高階液晶顯示器之高品質畫面更新率提升轉換技術
(High quality frame rate up-conversion for high-end liquid crystal display (LCD) panels)

相關論文

★ 即時的SIFT特徵點擷取之低記憶體硬體設計	★ 即時的人臉偵測與人臉辨識之門禁系統
★ 具即時自動跟隨功能之自走車	★ 應用於多導程心電訊號之無損壓縮演算法與實現
★ 離線自定義語音語者喚醒詞系統與嵌入式開發實現	★ 晶圓圖缺陷分類與嵌入式系統實現
★ 語音密集連接卷積網路應用於小尺寸關鍵詞偵測	★ G2LGAN: 對不平衡資料集進行資料擴增應用於晶圓圖缺陷分類
★ 補償無乘法數位濾波器有限精準度之演算法設計技巧	★ 可規劃式維特比解碼器之設計與實現
★ 以擴展基本角度CORDIC為基礎之低成本向量旋轉器矽智產設計	★ JPEG2000靜態影像編碼系統之分析與架構設計
★ 適用於通訊系統之低功率渦輪碼解碼器	★ 應用於多媒體通訊之平台式設計
★ 適用MPEG 編碼器之數位浮水印系統設計與實現	★ 適用於視訊錯誤隱藏之演算法開發及其資料重複使用考量

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

畫面更新率提升轉換技術是將較低畫面更新率的影像提升到更高的畫面更新率。近年畫面更新率提升轉換技術被應用在降低液晶螢幕的動態殘影問題。因為液晶螢幕本身是屬於hold-type 的螢幕，亦即每一張畫面都會停留一個畫面的時間這與傳統的CRT 螢幕而有所不同。由於人眼對於移動物體存在著追蹤的與視覺暫留的特性，因此當移動物體在液晶螢幕上顯示時，動態模糊就會被感覺出來。經由研究發現，將液晶螢幕的畫面更新率由原本的60 赫茲提升到120 赫茲可以有效的解決動態模糊的問題。
在這篇論文中，我們提出了一個名為適應性對稱動態估測(Adaptive Bilateral Motion Estimation)的方法，以及擴展估測動態物體軌跡的範圍來提高估測的準確性。再來我們使用了次取樣動態估測，來減少因為擴大搜尋範圍所產生的運算量。最後，我們考慮到週圍的動態向量有一致的方向性，所以使用了動態向量平滑處理來減少離群物。經過實驗比較，我們的方法與傳統方法，在平均的PSNR表現上提高了1.21~4.98dB。

摘要(英)

Frame rate up conversion (FRUC) is a technique to convert lower frame rate video to higher frame rate. Recently, FRUC is frequently applied to reduce motion blur of liquid crystal display (LCD). Because LCD is a hold-type display, each frame will be displayed and hold in one frame which is different from CRT. Since human eyes have the characteristic to pursuit moving objects with eye-tracking integration smoothly, the artifact, motion blur. will be perceived by human eyes. Frame rate up conversion, which converts the frame rate from 60Hz to 120Hz, is an effective method in motion blur elimination.
This paper presents a motion compensated frame rate up conversion algorithm that adopts the adaptive bilateral motion estimation and the expanded range of the motion trajectory to enhance the accuracy of motion estimation. We used the sub-sampled motion estimation to reduce computational complexity from the expanded search range. Finally, a motion vector smoothing method is applied that alleviates outliers under the assumption that neighboring motion vectors are similar in value and direction. In the experiments, the proposed algorithm improves the average PSNR of interpolated frames by up to 1.21-4.98 dB, compared to the conventional algorithm.

關鍵字(中)

★ 畫面更新率提升
★ 動態估測
★ 動態補償

關鍵字(英)

★ motion compensated
★ motion estimation
★ frame rate up-conversion

論文目次

ABSTRACT
第一章緒論 1
1.1畫面更新率轉換技術簡介與應用 1
1.2液晶顯示器的動態殘影成因 2
1.3 減少液晶顯示器動態殘影的方法 5
1.4論文架構 9
第二章畫面更新率提升轉換技術分析 11
2.1 動態估測 11
2.2 對稱動態估測 14
2.3 延伸性對稱動態估測 17
2.4 次取樣動態估測 20
2.5 動態向量平滑處理 21
2.6 動態補償式插補 23
第三章提出的適應性對稱動態估測 25
3.1 對稱動態估測的缺點分析 25
3-2 適應性對稱動態估測 27
第四章提出的畫面更新率提升轉換架構 31
4.1 畫面更新率提升轉換架構 31
4.2模擬環境 33
4.3 模擬結果 34
第五章結論與未來工作 40
參考文獻 42

參考文獻

[1]V. Seferidis and M. Ghanbari, “General approach to block-matching motion estimation,” Journal of Optical Engineering, vol. 32, pp. 1464-1474, July 1993.
[2]F. Dufaux and F. Moscheni, “Motion estimation techniques for digital TV: A review and a new contribution,” Proc. IEEE, vol. 83, pp. 858-876, June 1995.
[3]B. D. Choi, J. W. Han, C. S. Kim, and S. J. Ko, “Motion compensated frame interpolation using bilateral motion estimation and adaptive overlapped block motion compensation,” IEEE Trans. Circuits and Systems for Video Technology, vol. 17, no. 4, pp. 407-416, Apr. 2007.
[4]Suk-Ju Kang, Kyoung-Rok Cho,”Motion Compensated Frame Rate Up-Conversion Using Extended Bilateral Motion Estimation” IEEE Trans. Consumer Electronics, Vol. 53, No. 4, NOVEMBER 2007.
[5]B. D. Choi, J. W. Han, C. S. Kim, and S. J. Ko, "Frame rate upconversion using perspective transform," IEEE Trans. Consumer Electronics, vol. 52, no. 3, pp. 975-982, Aug. 2006.
[6]G. Dane and T. Nguyen, ”Motion vector processing for frame rate up conversion, ” in Proc. 2004 IEEE International Conference on Acoustics,
[7]M. T. Orchard and C. J. Sullivan, "Overlapped block motion compensation: An estimation-theoretic approach," IEEE Trans. Image Processing, vol. 3, no. 9, pp. 693-699, Sept. 1994.
[8]T. Ha, S. Lee, and J. Kim, "Motion compensated frame interpolation by new block-based motion estimation algorithm," IEEE Trans. Consumer Electronics, vol. 50, no. 2, pp. 752–759, May 2004.
[9]T.-Y. Kuo and C.-C. Kuo, “Motion-compensated interpolation for lowbit-rate video quality enhancement,” in Proc. SPIE Appl. Digital Image Process., Jul. 1998, vol. 3460, pp. 277–288.
[10]B.-W. Jeon, G.-I. Lee, S.-H. Lee, and R.-H. Park, “Coarse-to-fine frame interpolation for frame rate up-conversion using pyramid structure,” IEEE Trans. Consum. Electron., vol. 49, no. 3, pp. 499–508, Aug. 2003.
[11]T. Liu, K.-T. Lo, J. Feng, and X. Zhang, “Frame interpolation scheme using inertia motion interpolation,” Proc. Signal Processing: Image Commun., vol. 18, pp. 221–229, Mar. 2003.
[12]M. E. Al-Mualla, “Motion field interpolation for frame rate conversion,”in IEEE ISCAS, May 2003, vol. 2, pp. 652–655.
[13]S.-H. Lee, O. Kwon, and R.-H. Park, “Weighted-adaptive motion-compensated
frame rate-up conversion,” IEEE Trans. Consum. Electron.,vol. 49, no. 3, pp. 485–492, Aug. 2003.
[14]S. Liu, J. Kim, and C.-C. J. Kuo, “Non-linear motion-compensated interpolationfor low bit rate video,” presented at the SPIE Int. Symp. Optical Science, Engineering, Instrumentation, Appl. Digital Image Process., San Diego, CA, Jul. 2000.
[15]Speech, and Signal Processing, vol. 3, pp. 309-312, May 2004. Sugiyama, K., Nakamura, H.: ”A method of de-interlacing with motion compensated interpolation” in IEEE Trans. on Consumer Elect., Vol.45, Aug. 1999, pp. 611 -616.
[16]產業評析:談LCD TV 100/120Hz發展概況http://www.fpd.edu.tw/entry/content!newsView.htm?id=2397
[17]知識天地:動態背光掃描技術簡介http://www.fpd.edu.tw/entry/content!newsView.htm?id=727

指導教授

蔡宗漢(Tsung-Han Tsai)

審核日期

2009-8-24

推文