Advanced Visual Quality of Accurate Frame Rate up Conversion

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姓名

施安亭(An Ting Shi) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

(Advanced Visual Quality of Accurate Frame Rate up Conversion)

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摘要(中)

在這篇論文，一個motion compensated frame rate up conversion (FRUC)的演算法被提出。我們提出了一個方法藉由參考相鄰的frame可以更精確的計算出motion vector。一般在interpolation之後，畫面會產生一些細小的debris，這是由於在一些動態場景，其物體快速移動，使得因此motion vector很難被精準的預測。為了去減少debirs的產生，我們提出了一個方法去抑制。經由實驗數據顯示，我們提出了方法可以提昇0.48dB。而畫面中的debris大量被減少。

摘要(英)

In this thesis, a motion compensated frame rate up conversion (FRUC) algorithm is proposed. Our proposed method can acquire more accurate motion vector by referencing neighboring frames. After interpolation, some debris will be introduced, because some dynamic scene is hard to predict. For the purpose of suppressing the debris, noise removal filter is applied. According to the experimental result, it shows that our proposed approach improves the up-conversion performance by 0.48dB in average. The annoying artifacts are reduced significantly.

關鍵字(中)

★ 影像插補

關鍵字(英)

★ Frame rate up conversion
★ motion

論文目次

中文摘要 V
Abstract . VI
誌謝 .. VII
目錄 . 1
List of Figures 2
List of Table 1
Chapter 1 INTRODUCTION .. 1
Chapter 2 4
Previous Work .. 4
Section 2-1 the brief introduction of PFRUC.. 4
Section 2-2 the brief introduction of HFRUC . 6
Chapter 3 8
Proposed work . 8
Section.3.1 Adaptive motion vector smoothing .. 9
Section.3-2 Pixel based compared with block based .. 10
Section.3-3 Noise removal filter 13
Chapter 4 . 15
Experimental Result 15
Chapter 5 . 23
Implementation 23
Chapter 6 . 28
Conclusion .. 28
References .. 29

參考文獻

[1] Tsung-Han Tsai,Hsueh-Yi Lin(2012,May). High Visual Quality Particle Based Frame Rate Up Conversion With Acceleration Assisted Motion Trajectory Calibration. IEEE Trans on Display Technology.8(6),pp. 341-351
[2] Tsung-Han Tsai,Hsueh-Yi Lin(2013,Oct.). Hybrid Frame Rate Up conversion Method Based on Motion Vector Mapping. IEEE Trans on Circuits and Systems for Video Technology. 23(11),pp. 1901-1910
[3] Jun Guo* and Joohee Kim*(2011, Mar.). Adaptive Motion Vector Smoothing for Improving Side Information in Distributed Video Coding, Journal of Information Processing Systems.7(1),pp.103-110
[4] Ci Wang, Lei Zhang, Yuwen He, and Yap-Peng Tan (2010, Jun.). Frame Rate Up-Conversion Using Trilateral Filtering. IEEE Trans on Circuits And Systems for Video Technology.20(6),pp.886-893
[5] R. Garnett, Timothy Huegerich and Charles Chui (2005, Oct), A Universal Noise Removal Algorithm with an Impulse Detector, IEEE Trans. on Image Processing, 14(11), pp.1747-1754.
[6] S.-J. Kang, K.-R. Cho, and Y. H. Kim(2007,Nov.). Motion compensated frame rate up-conversion using extended bilateral motion estimation, IEEE
Transactions on Consumer Electronics, 53(4), pp. 1759-1767,
[7] H. Liu, R. Xiong, D. Zhao, S. Ma, and W. Gao (Aug. 2012), Multiple hypotheses bayesian frame rate up-conversion by adaptive fusion of motion-compensated interpolations , Circuits and Systems for Video Technology, IEEE Transactions on, 22(8), pp. 1188 –1198.
[8] Un Seob Kim; Myung Hoon Sunwoo (2013, Aug.). New Frame Rate Up-Conversion Algorithms with Low Computational Complexity,PP(99), pp.1,1, 0
[9] http://en.wikipedia.org/wiki/PandaBoard

指導教授

蔡宗漢(Tshun Han Tsai)

審核日期

2014-3-28

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