博碩士論文 945203022 詳細資訊




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:10 、訪客IP:34.237.51.159
姓名 陳旎娜(Ni-Na Chen)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 利用H.264多幅畫面追蹤之視訊雜訊消除技術
(Video noise reduction using H.264 multi-frame trajectory)
相關論文
★ 基於區域權重之衛星影像超解析技術★ 延伸曝光曲線線性特性之調適性高動態範圍影像融合演算法
★ 實現於RISC架構之H.264視訊編碼複雜度控制★ 視訊隨選網路上的視訊訊務描述與管理
★ 基於線性預測編碼及音框基頻週期同步之高品質語音變換技術★ 基於藉語音再取樣萃取共振峰變化之聲調調整技術
★ 即時細緻可調性視訊在無線區域網路下之傳輸效率最佳化研究★ 線上視訊於IP網路可變延遲環境下之訊務平順化研究
★ H.264視訊編碼之同步式逆向錯誤追蹤演算法★ H.264快速橫向線型移動預估實現於Equator數位訊號處理器
★ 基於特徵值空間分解之影像認證系統★ 高品質切換式離散餘弦與小波封包 轉換之音訊編碼技術
★ 資料隱藏與模式決策技術應用於H.264視訊編碼之錯誤防範機制★ 運用混合小波封包與離散餘弦轉換及 最佳位元配置之高音質音訊壓縮系統
★ 多視訊串流在無線區域網路之傳輸最佳化研究★ 視訊串流於盡力傳送式網路上之調適性平順化研究
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]
  1. 本電子論文使用權限為同意立即開放。
  2. 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。
  3. 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) 在許多實際的視訊系統中,由於環境亮度不足造成感測器過熱、或感測器元件故障等因素,使得視訊在擷取、傳輸時可能會產生高斯、突波雜訊。這些雜訊會影響系統輸出的視訊品質及壓縮效率,因此雜訊消除是視訊處理中必要的一環。以往的濾波器若只考慮利用空間域上的資訊做雜訊衰減,會有殘影的情況發生;若只考慮利用時間域上訊號間的相關性來濾除雜訊,則無法消除短暫突發性的雜訊。我們提出利用H.264精準的移動補償及多幅參考畫面特性之空間-時間域濾波器。我們利用H.264多種區塊模式決策,一方面決定是否畫面受到雜訊干擾,另一方面也決定適當參數提供空間域濾波使用。在時間域方面,我們參考多張前畫面,根據移動軌跡找出可參考的像素,利用MSE評估時間域上像素間的相似性來排除雜訊。我們所提出的可調式的空間域濾波器及非線性的時間域濾波器,最後實驗數據顯示,可以有效達到消除高斯雜訊後PSNR提升0.83dB以上,位元率可減少24.46%以上;消除突波雜訊後PSNR可提升8.17dB以上,位元率減少84.85%以上,都有不錯的效果。
摘要(英) In video capture, noises such as Gaussian and impulse noise may exist because of insufficient luminance or defect of image sensors. Noise in video will seriously affect human visual perception and reduce compression efficiency. Therefore, noise reduction is a necessary part of video processing. Spatial filter and temporal filter were proposed to reduce noise in video in previous works. Both of them have disadvantages such as ghost effect of spatial filtering and blurring in temporal filtering. Consequently, we propose a spatio-temporal filtering scheme that utilizes motion compensation with multi-reference frames in H.264 to remove noise. It utilizes the variation of inter mode distributions to detect noise and determine the parameters for spatial filter. In the time domain, a reference pixel is selected from multi-reference frames according to the motion trajectory and MSE criterion. The proposed adaptive spatial filter and non-linear temporal filter can effectively remove Gaussian and impulse noises to improve video quality up to 0.83dB and 8.17dB in PSNR respectively. Meanwhile, it can also boost the compression efficiency by reducing the bitrate up to 84.85% in our experiments.
關鍵字(中) ★ 空間-時間域濾波器
★ 視訊雜訊消除
關鍵字(英) ★ noise reduction
★ spatio-temporal filter
★ H.264
論文目次 摘 要I
Abstract II
目錄III
圖目錄V
表目錄IX
第一章 緒論1
1.1 研究背景1
1.2 研究動機與目的1
1.3 論文架構3
第二章 文獻探討5
2.1 數位影像表示法 5
2.2 常見雜訊模組6
2.3 空間域雜訊消除演算法7
2.4 時間域雜訊消除演算法9
2.5 空間-時間域雜訊消除演算法10
2.6 影像品質評估機制12
第三章 視訊雜訊消除15
3.1 H.264 視訊壓縮標準簡介15
3.1.1 整體壓縮效能改進情形16
3.1.2 H.264架構介紹17
3.1.3 網路提取層18
3.1.4 視訊編碼層19
3.2 H.264視訊雜訊分析31
第四章 可調式空間域與非線性時間域濾波器37
4.1 可調式空間域濾波器39
4.2 非線性時間域濾波器51
第五章 實驗結果與討論55
5.1 實驗參數環境55
5.2 雜訊消除測試57
第六章 結論與未來工作73
參考文獻75
參考文獻 [1]T. Chen and H. R. Wu, “Adaptive impulse detection using center–weighted median filters,” IEEE Signal Process. Lett. , vol. 8, no.1, pp. 1–3, 2001.
[2]R. C. Gonzalez and R. E. Woods, Digital Image Processing. Second Edition, Prentice Hall, Upper Saddle River, New Jersey.
[3]M. Meguro, A. Taguchi, and N. Hamada, “Data-dependent weighted average filtering for image sequence restoration,” IEICE Trans. vol. J82-A, no.10, pp. 1623-1632, Oct. 1999.
[4]J. M. Boyce, “Noise reduction of image sequences using adaptive motion compensated frame averaging,” IEEE Int. Conf. Acoust. , Speech, Signal Process. , pp. 461-464, 1992.
[5]J. C. Brailean, R. P. Kleihorst, S. Efstratiadis, A. K. Katsaggelos, and R. L. Lagendijk, “Noise reduction filters for dynamic image sequences: a review,” Proceedings of the IEEE, vol. 83, no. 9, pp. 1272-1292, Sept. 1995.
[6]B. C. Song and K. W. Chun, “Motion-compensated temporal pre-filtering for noise reduction in a video encoder,” Proceedings of the 2004 IEEE International Conference on Image Processing, vol. 2, pp. 1221-1224, Oct. 2004.
[7]M. Saeidi, S.A. Motamedi, A. Behrad, B. Saeidi, and R. Saeidi, “Noise reduction of consecutive images using a new adaptive weighted averaging filter,” IEEE Workshop on Signal Processing Systems Design and Implementation, pp. 455- 460, Nov. 2005.
[8]D. H. Kim, R. H. Park, and S. Yang, “Noise reduction of image sequences using H.264/AVC variable block-size motion compensation,” International Conference on Consumer Electronics, pp. 387-388, Jan. 2006.
[9]K. Miyata and A. Taguchi, “Spatio-temporal separable data-dependent weighted average filtering for restoration of the image sequences,” IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp. IV-3696-IV-3699, 2002.
[10]V. Zlokolica, W. Philips, and D. Van De Ville, “Robust non-linear filtering for video processing,” 14th International Conference on Digital Signal Processing, vol. 2, pp. 571-574, July, 2002.
[11]吳明坤, 基於時空濾波處理之有效視訊雜訊衰減之研究, 碩士論文, 高雄應用科技大學, 2005.
[12]T. Wiegand, G. J. Sullian, G. Bjontegaard, and A. Luthra, “Overview of the H.264/AVC video coding standard,” IEEE Trans. Circuits System Video Technology, vol. 13, pp. 560-576, July 2003.
[13]“Final committee draft: Editor’s proposed revisions,” in Joint Video Team(JVT) of ISO/IEC MPEG and ITU-T VCEG, T. Wiegand, Ed., Feb.2003,JVT-F100.
[14]T. Stockhammer, M. Hannuksela, and T. Wiegand, “H.264/AVC in wireless environments,” IEEE Trans. Circuits System Video Technology, vol.13, pp. 657-673, July 2003.
[15]S. Wenger, “H.264/AVC over IP,” IEEE Trans. Circuits System Video Technology, vol. 13, pp. 645-656, July 2003.
[16]R. C. Hardie and C. G. Boncelet, “LUM filters:a class of rank-order-based filters for smoothing and sharpening,” IEEE Trans. Signal. Processing .vol. 41, no. 3, pp. 1064-1076, March 1993.
[17]B. C. Song and K. W. Chun. “Motion-compensated noise estimation for efficient pre-filtering in a video encoder,” IEEE International Conference on Image Processing, vol. 2, pp. 211-214, 2003.
[18]S. D. Kim and J. B. Ra, “Efficient DCT-domain pre-filtering inside a video encoder,” SPIE Conf. Visual Communication and Image Processing, vol. 4067, pp. 1579-1588, June 2000.
[19]S.-W. Lee, V. Maik, J. Jang, J. Shin, and J. Paik. “Noise adaptive spatio-temporal filter for real-time noise removal in low light level images,” IEEE Tran. Consumer Electronics, vol. 51, no. 4, pp. 648-653, May 2005.
指導教授 張寶基(Pao-Chi Chang) 審核日期 2007-12-6
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明