基于小波的视频压缩算法在视频会议系统中的应用
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摘要
传统的视频压缩算法都是基于分块的离散余弦变换编码方法，由于其良好的去相关性与能量压缩特性，已使其成为现有大多数图像／视频压缩国际标准的核心技术。但是基于DCT变换的压缩图像不可避免地会出现块效应和飞蚊噪声。所以如何能提供关于质量、分辨率、信噪比等多种可扩展编码结构，实现多分辨率编码、嵌入式编码，从而能在无线移动环境向用户提供个性化的服务，是目前重点研究的课题。基于小波编码的视频压缩算法，能够满足现代应用所需要的许多特征，如多分辨率编码、多层质量控制、嵌入式码流等，均能与小波图像编码结构非常自然地融合在一起，所以小波变换编码是变换编码新的、重要的发展方向。
论文在研究小波变换理论和静止图像压缩编码方法的基础上，对嵌入式零树小波EZW算法进行改进。在分析空间域、变换域、三维小波运动补偿的基础上，研究了小波域中的运动补偿技术，并提出了基于运动区域改进的多分辨率运动估计算法。
论文以小波变换为理论依据，采用改进的视频压缩算法进行视频压缩，通过对压缩比和数据的失真率和H.263压缩技术进行比较，达到更高的压缩比和更小的失真率，并对视频会议系统的功能进行完善，解决音频视频同步以及非固定IP支持等问题，使得视频会议系统具有更强大的功能，并成为一个完全仿真的视频会议系统。
Traditional Video compress are Discrete Cosine Transform encode based on detach block, which has good irrelated and energy compress performance, has become the most Image/Video compress international standard of kernel technology. However, block effect and flying mosquito yawp based on DCT picture is inevitable. So how to provide many extended encode struct , for instance, quality,resolution is the topic that many project teams studies, which could realize multi resolution encode ,embedded encode and could provide personal service to user in wireless environment. The Video compress based on Wavelet could need the most of necessary character of modern application, such as multi resolution encode , multilayer quality control, embedded code stream, which could be mixed together entirely. Wavelet transform is the newest and important develop direction of transform encode.
This paper study deeply the wavelet transform theory and statistical image encode arithmetic ,and improve on embedded zerotree wavelet arithmetic. Based on spatial domain, transforming field, three dimension wavelet ,this paper study wavelet field motion compensation technology and put forward an improved Video encode arithmetic of wavelet field motion compensation based on motion field.
Based on wavelet transform theory ,the paper uses the video encode arithmetic which is provided in the paper to encode the video data, comparing compress rate and loss rate of data with H.263 compress technology, we found higher compress rate and less loss rate. To improve the function of Video Meeting System, produce the Synchronization of Audio and Video and support the dynamic IP Address. Video Meeting System have more powerful function and become a full real Video Meeting System.
论文在研究小波变换理论和静止图像压缩编码方法的基础上，对嵌入式零树小波EZW算法进行改进。在分析空间域、变换域、三维小波运动补偿的基础上，研究了小波域中的运动补偿技术，并提出了基于运动区域改进的多分辨率运动估计算法。
论文以小波变换为理论依据，采用改进的视频压缩算法进行视频压缩，通过对压缩比和数据的失真率和H.263压缩技术进行比较，达到更高的压缩比和更小的失真率，并对视频会议系统的功能进行完善，解决音频视频同步以及非固定IP支持等问题，使得视频会议系统具有更强大的功能，并成为一个完全仿真的视频会议系统。
Traditional Video compress are Discrete Cosine Transform encode based on detach block, which has good irrelated and energy compress performance, has become the most Image/Video compress international standard of kernel technology. However, block effect and flying mosquito yawp based on DCT picture is inevitable. So how to provide many extended encode struct , for instance, quality,resolution is the topic that many project teams studies, which could realize multi resolution encode ,embedded encode and could provide personal service to user in wireless environment. The Video compress based on Wavelet could need the most of necessary character of modern application, such as multi resolution encode , multilayer quality control, embedded code stream, which could be mixed together entirely. Wavelet transform is the newest and important develop direction of transform encode.
This paper study deeply the wavelet transform theory and statistical image encode arithmetic ,and improve on embedded zerotree wavelet arithmetic. Based on spatial domain, transforming field, three dimension wavelet ,this paper study wavelet field motion compensation technology and put forward an improved Video encode arithmetic of wavelet field motion compensation based on motion field.
Based on wavelet transform theory ,the paper uses the video encode arithmetic which is provided in the paper to encode the video data, comparing compress rate and loss rate of data with H.263 compress technology, we found higher compress rate and less loss rate. To improve the function of Video Meeting System, produce the Synchronization of Audio and Video and support the dynamic IP Address. Video Meeting System have more powerful function and become a full real Video Meeting System.
引文
[1] Jcrome M. Shapiro. Embedded Image Coding Using Zerotrees of Wavelet Coefficents. IEEE Transactions On Signal Processssing, VOI. 41. NO. 12. December 1993.
[2] Zhang Y, Zafer S. Motion-compensated wavelet transform coding for color video compression. IEEE Trans. on Circuits and Systems for Video Technology, 1992, 2(3): 285-296.
[3] 刘红梅．基于小波变换的视频编码和数字图像／视频水印关键技术的研究．中山大学博士论文，2001．
[4] 毛立强．嵌入式零树小波编码算法研究．微机发展，Vol．14 No．7，2004年第14卷第7期．
[5] 刘毓敏．数字视音频技术与应用．北京：电子工业出版社，2003．
[6] 张春田，苏育挺，张静．数字图像压缩编码．北京：清华大学出版社，2006．
[7] 黎洪松．数字视频技术及其应用，北京：清华大学出版社，1997．
[8] 周长发．精通Visual C++图像处理编程．北京：清华大学出版社，2006．
[9] 沈兰荪，卓力．小波编码与网络视频传输．北京：科学出版社，2005．
[10] 潘爱民，王国印译．VC++技术内幕[M]第四版，北京：清华大学出版社，FHHD．
[11] 张旗，梁德群．面向图像压缩的图像分类及压缩结果预测，中国图像图形学报，No．8-4，2003年第8卷第4期．
[12] 陆宗骐．C／C++图像处理编程．北京：清华大学出版社．
[13] 高文．多媒体数据压缩技术．北京：电子工业出版社，1994．
[14] 吴乐南．数据压缩的原理与应用．北京：电子工业出版社，1995．
[15] ITU-TR ecommendation H. 261, Video codec for audio visual services at px64kbps, 1993.
[16] 雷国平，周棍，吉吟东．MPEG标准发展和研究综述．计算机工程，2003．
[17] 林耀荣，阂锐，韦岗．基于图像内容的视频压缩方法．计算机工程与应用，2003．6．
[18] E.W.Aslaksen&J.k. Klander. unitary representations of the alfine group. J.Math,phys.vol.9.1968.pp.2267-2275.
[19] J.k.,Klander&B.s. Skagerstam. CoherentS tates. World Scientific,Si gnapore, 1985.
[20] Esteban&Galland. Application of quadrature mirror filters to split-band voice codry scheme. pro.IEEE Int.conf.Assp. Horford,Connecticut, 1977.pp.191-195.
[21] J.T.Smith&T.P.Bamwell. exact reconstruction techgiques for tree-structureed subband coders. IEEE Trans.Assp.vol.3.1986.pp.434-441.
[22] M.Vetterli. Filter banks allowing perfect reconstruction. Siganal Proecess.vol. 10.1986.pp.219-244.
[23] J.O.Stromberg. modified Franklin system and higher order spline systems on conditional bases for Hardy spaces, conf. in honour of A.zygmand. voIII. 1981. pp.475-493.
[24] Y.Meyer. Principe d'mcertitude, bases helbertieennes at algebras d'operatears. Seminaire.Bourbaki,N o.662.19 85.
[25] P.G.Lemaie & Y. Meyer. on deletes et bases, hilbertiennes,Rer.Mat.Iberoamericana.,1986.vol.pp.1-18.
[26] S.G.Mallat. Multifrequency channel decompositions of images and wavelet models. IEEE.Trans.Assp,vol.3.1989.pp.2091-2110.
[27] 耿则勋．基于小波变换的遥感影像保持量测精度的压缩技术研究．中国人民解放军测绘学院博士论文，1996．
[28] (美)崔锦泰，程正兴译．小波分析导论．西安：西安交通大学出版社．
[29] 魏海．基于小波的压缩域图像检索技术的初步研究．博士学位论文，北京工业大学，2001．
[30] 尚艳霞．基于小波域的视频压缩编码．大连理工大学硕士学位论文，2003：1—58．
[2] Zhang Y, Zafer S. Motion-compensated wavelet transform coding for color video compression. IEEE Trans. on Circuits and Systems for Video Technology, 1992, 2(3): 285-296.
[3] 刘红梅．基于小波变换的视频编码和数字图像／视频水印关键技术的研究．中山大学博士论文，2001．
[4] 毛立强．嵌入式零树小波编码算法研究．微机发展，Vol．14 No．7，2004年第14卷第7期．
[5] 刘毓敏．数字视音频技术与应用．北京：电子工业出版社，2003．
[6] 张春田，苏育挺，张静．数字图像压缩编码．北京：清华大学出版社，2006．
[7] 黎洪松．数字视频技术及其应用，北京：清华大学出版社，1997．
[8] 周长发．精通Visual C++图像处理编程．北京：清华大学出版社，2006．
[9] 沈兰荪，卓力．小波编码与网络视频传输．北京：科学出版社，2005．
[10] 潘爱民，王国印译．VC++技术内幕[M]第四版，北京：清华大学出版社，FHHD．
[11] 张旗，梁德群．面向图像压缩的图像分类及压缩结果预测，中国图像图形学报，No．8-4，2003年第8卷第4期．
[12] 陆宗骐．C／C++图像处理编程．北京：清华大学出版社．
[13] 高文．多媒体数据压缩技术．北京：电子工业出版社，1994．
[14] 吴乐南．数据压缩的原理与应用．北京：电子工业出版社，1995．
[15] ITU-TR ecommendation H. 261, Video codec for audio visual services at px64kbps, 1993.
[16] 雷国平，周棍，吉吟东．MPEG标准发展和研究综述．计算机工程，2003．
[17] 林耀荣，阂锐，韦岗．基于图像内容的视频压缩方法．计算机工程与应用，2003．6．
[18] E.W.Aslaksen&J.k. Klander. unitary representations of the alfine group. J.Math,phys.vol.9.1968.pp.2267-2275.
[19] J.k.,Klander&B.s. Skagerstam. CoherentS tates. World Scientific,Si gnapore, 1985.
[20] Esteban&Galland. Application of quadrature mirror filters to split-band voice codry scheme. pro.IEEE Int.conf.Assp. Horford,Connecticut, 1977.pp.191-195.
[21] J.T.Smith&T.P.Bamwell. exact reconstruction techgiques for tree-structureed subband coders. IEEE Trans.Assp.vol.3.1986.pp.434-441.
[22] M.Vetterli. Filter banks allowing perfect reconstruction. Siganal Proecess.vol. 10.1986.pp.219-244.
[23] J.O.Stromberg. modified Franklin system and higher order spline systems on conditional bases for Hardy spaces, conf. in honour of A.zygmand. voIII. 1981. pp.475-493.
[24] Y.Meyer. Principe d'mcertitude, bases helbertieennes at algebras d'operatears. Seminaire.Bourbaki,N o.662.19 85.
[25] P.G.Lemaie & Y. Meyer. on deletes et bases, hilbertiennes,Rer.Mat.Iberoamericana.,1986.vol.pp.1-18.
[26] S.G.Mallat. Multifrequency channel decompositions of images and wavelet models. IEEE.Trans.Assp,vol.3.1989.pp.2091-2110.
[27] 耿则勋．基于小波变换的遥感影像保持量测精度的压缩技术研究．中国人民解放军测绘学院博士论文，1996．
[28] (美)崔锦泰，程正兴译．小波分析导论．西安：西安交通大学出版社．
[29] 魏海．基于小波的压缩域图像检索技术的初步研究．博士学位论文，北京工业大学，2001．
[30] 尚艳霞．基于小波域的视频压缩编码．大连理工大学硕士学位论文，2003：1—58．