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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66472完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳家麟(Ja-Lin Wu) | |
| dc.contributor.author | Pin_Shiang Wang | en |
| dc.contributor.author | 王品翔 | zh_TW |
| dc.date.accessioned | 2021-06-17T00:37:32Z | - |
| dc.date.available | 2012-02-16 | |
| dc.date.copyright | 2012-02-16 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-02-01 | |
| dc.identifier.citation | [1] D. Slepian and J. Wolf, “Noiseless coding of correlated information sources”, IEEE Trans. Inf. Theory, Vol. 19, No. 4, pp. 471-480, 1973.
[2] A. Wyner and J. Ziv, “The rate-distortion function for source coding with side information at the decoder”, IEEE Trans. Inf. Theory, Vol. 22, No. 1, pp. 1-10, 1976 [3] A. Aaron, R. Zhang, and B. Girod, “Wyner–Ziv coding of motion video”, the Asilomar Conference on Signals, Systems and Computers, pp. 240-244, 2002. [4] X. Artigas, J. Ascenso, M. Dalai, S. Klomp, D. Kubasov, and M. Ouaret, “The DISCOVER codec: architecture, techniques and evaluation”, Picture Coding Symposium, 2007. [5] B. Girod, A. Aaron, S. Rane, and D. Rebollo-Monedero, “Distributed video coding”, in Proc. IEEE, pp. 71-83, 2005. [6] J. Ascenso, C. Brites, and F. Pereira, “Improving frame interpolation with spatial motion smoothing for pixel domain distributed video coding”, in Proc. 5th EURASIP Conf. Speech Image Process., Multimedia Commun. Services, Smolenice, Slovakia, Jul. 2005. [7] DISCOVER: ‘Project page’, http://www.discoverdvc.org/accessed 24 June 2008 [8] D. Varodayan, D. Chen, M. Fuerl, and B. Girod, “Wyner-Ziv coding of video with unsupervised motion vector learning”, EURASIP Signal Process. image Commun., , 23, (5), pp. 369-378, 2008. [9] R. Martins, C. Brites, J. Ascenso, and F. Pereira, “Refining side information for improved transform domain Wyner-Ziv video coding”, IEEE Trans. Circuits Syst. Video Technol. Vol. 19, No. 9, pp. 1327-1341, 2009. [10] R. Martins, C. Brites, J. Ascenso, and F. Pereira, “Statistical motion learning for improved transform domain Wyner-Ziv video coding”, IET Image Processing, Vol. 4, No. 1, pp. 28-41, 2010. [11] A. Aaron, S. Rane, E. Setton and B. Girod, 'Transform-domain wyner–ziv codec for video,' Visual Communications and Image Processing, January 2004. [12] Discover page: http://www.img.lx.it.pt/~discover/home.html. [13] P. L. Dragotti and M. Gastpar, 'The discover wyner-ziv video codec,' Distributed source coding, ELSEVIER, pp. 207-245, 2009. [14] ISO/IEC 14496-10 2003, “Coding of audio-visual objects–part 10: advanced video coding” (July 2003, 1st edn ; also ITU-T: 2003, H.264). [15] T. Wiegand, G. J. Sullivan, G. Bjontegaard and A. Luthra, 'Overview of the h.264/avc video coding standard,' IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 560-576, July 2003. [16] Varodayan, D. and Aaron, A. 2006. Rate-adaptive codes for distributed source coding. EURASIP Signal Processing Journal, Special Issue on Distributed Source Coding. 86, 11, 3123-3130. [17] J. Ascenso, C. Brites and F. Pereira, 'Content adaptive wyner–ziv video coding driven by motion activity,' International Conference on Image Processing, October 2006. [18] C. Brites, F. Pereira, 2008. Correlation noise modeling for efficient pixel and transform domain Wyner-Ziv video coding. IEEE Trans. Circuits Syst. Video Technol. 18, (9), 1177-1190. [19] D. Kubasov, J. Nayak, and C. Guillemot, “Optimal reconstruction in Wyner–Ziv video coding with multiple side information”, IEEE Workshop on Multimedia Signal Processing, 2007. [20] A. Buades, B. Coll, and J.-M. Morel, “A non-local algorithm for image denoising”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, vol. 2, pp. 60–65. [21] A. Buades, B. Coll, and J.-M. Morel, “A review of image denoising algorithm, with a new one”, Multiscale Model, Simul., vol. 4, no. 2, pp. 490-530, 2005. [22] C. Kervrann and J. Boulanger, “Optimal spatial adaption for patch based image denoising”, IEEE Trans. Image Process., vol. 15, no. 10, pp. 2866–2878, 2006. [23] C. Brites, J. Ascenso, J. Pedro, and F. Pereira, “Evaluating a feedback channel based transform domain Wyner–Ziv video codec”, EURASIP Signal Processing: Image Communication, Vol. 23, No. 4, pp. 269-297, 2008. [24] Test condition of DISCOVER codec - http://www.img.lx.it.pt/~discover/test_conditions.html [25] H.264 reference software - http://iphome.hhi.de/suehring/tml. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66472 | - |
| dc.description.abstract | Wyner-Ziv (或簡稱WZ) 視訊編碼為分散式視訊編碼 (或簡稱DVC) 中一種特別的實作方式，它是基於Slepian-Wolf與Wyner-Ziv 的理論；相較於傳統以預測移動為基礎移動的視訊編碼器，這種新的視訊壓縮架構是在解壓縮端進行資料時間域上關聯性的利用而非在壓縮端。至今，目前最先進的WZ編碼器，其壓縮效率跟目前最先進以預測移動為基礎的編碼器比較起來還是有段差距，尤其是在視訊內容移動較為複雜的情況下。這主要是因為旁資訊 (或簡稱SI) 品質的低弱，在眾多熱門的WZ壓縮器中，旁資訊被視為在解壓縮端產生的原始畫面預測。這篇論文提出一個轉換域W編碼器的循序旁資訊改善技術，基於去雜訊的概念並且整合至最先進的WZ編碼器的解壓縮流程。藉由非區域平均去雜訊演算法 (或簡稱NLM) 同時探索空間與時間上的相似性，旁資訊在解碼的過程中被循序的改善。實驗結果顯示，在移動快速以及遠的畫面群集 (或簡稱GOP) 的影片中，編碼器壓縮效率可以提升多達2.6分貝相較於同一個編碼器但未採用本篇提出的技術。 | zh_TW |
| dc.description.abstract | Wyner–Ziv (WZ) video coding is a particular case of distributed video coding (DVC), the recent video coding paradigm based on the Slepian–Wolf and Wyner–Ziv theorems which exploits the source temporal correlation at the decoder and not at the encoder as in conventional predictive-based video coding. Until now, the coding efficiency of state-of-the-art WZ codecs is still far from that of the state-of-the-art prediction-based codecs, especially for high and complex motion contents, especially for the high and complex motion contents. It is mainly due to the poor quality of the side information (SI), which is an estimate of the original frame created at the decoder in the most popular WZ video codecs. This thesis proposes a progressive side information refinement scheme of transform domain WZ video coding, which is based on the denoising concept and integrated into the decoding process of a popular WZ video codec. The side information is progressively improved by explore both temporal and spatial similarity using non-local means (NLM) denoising algorithm as the decoding proceeds. The results obtained reveal gains up to 2.6dB in the RD performance against the performance for the same codec without the proposed technique for high motion sequences and long group of pictures (GOP) sizes. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T00:37:32Z (GMT). No. of bitstreams: 1 ntu-101-R98944043-1.pdf: 1810249 bytes, checksum: 61ca51ea76a493219b67d7e08fa6475d (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | CONTENTS
口試委員會審定書 i 誌謝 i 中文摘要 iii ABSTRACT iiiv CONTENTS v LIST OF FIGURES vi LIST OF TABLES x Chapter 1 Introduction 1 Chapter 2 The Background Transform-Domain WZ Video Codec 6 2.1 At the Encoder 6 2.1.1 Frame Classification 6 2.1.2 Transform and Quantization 7 2.1.3 LDPCA Encoding 8 2.2 At the Decoder 8 2.2.1 Side Information Creation 8 2.2.2 Correlation Noise Modeling 9 2.2.3 LDPCA Decoding 9 2.2.4 Reconstruction and Reverse Transform 10 Chapter 3 Side Information Refinement Algorithm 11 3.1 System Architecture Overview 11 3.2 Non-local Mean Side Information Refinement Process 13 3.2.1 Candidate Block Selection 14 3.2.2 Non-local Means Refinement 16 3.2.3 Parameter Setting of Non-local Means 20 3.2.4 Decoding with Refined Side Information 22 Chapter4 Performance Evaluation 23 4.1 Test Conditions and Benchmarks 23 4.2 Quality and Bitrate Temporal Evoluation 26 4.3 Rate-Distortion Performance 30 4.4 Decoding Complexity Analysis 37 Chapter 6 Conclusion and Future Work 41 REFERENCE 43 | |
| dc.language.iso | zh-TW | |
| dc.subject | 分散式視訊編碼 | zh_TW |
| dc.subject | WZ 視訊編碼 | zh_TW |
| dc.subject | 旁資訊改善 | zh_TW |
| dc.subject | 非區域平均 | zh_TW |
| dc.subject | 影像去雜訊 | zh_TW |
| dc.subject | 影片去雜訊 | zh_TW |
| dc.subject | non-local means | en |
| dc.subject | Distributed video coding | en |
| dc.subject | video denoising | en |
| dc.subject | Wyner-Ziv video coding | en |
| dc.subject | side information refinement | en |
| dc.subject | image denoising | en |
| dc.title | 使用於分散式視訊編碼之非區域性平均去雜訊旁資訊改善技術 | zh_TW |
| dc.title | Progressive Side Information Refinement with Non-Local Means Denoising in Distributed Video Coding | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 歐陽明(Ming Ouhyoung),莊永裕(Yung-Yu Chuang) | |
| dc.subject.keyword | 分散式視訊編碼,WZ 視訊編碼,旁資訊改善,非區域平均,影像去雜訊,影片去雜訊, | zh_TW |
| dc.subject.keyword | Distributed video coding,Wyner-Ziv video coding,side information refinement,non-local means,image denoising,video denoising, | en |
| dc.relation.page | 55 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-02-01 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位： | 資訊網路與多媒體研究所 | |
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