一种新型的无损视频压缩算法

夏杰; 侯朝焕

一种新型的无损视频压缩算法

夏杰,
侯朝焕

计量
- 文章访问数: 3725
- HTML全文浏览量: 149
- PDF下载量: 1782
- 被引次数: 0
出版历程
- 收稿日期: 2004-09-16
- 修回日期: 2005-01-07
- 刊出日期: 2006-03-19

Lossless Video Compression System Designation

摘要

摘要: 多次使用有损压缩技术压缩数字视频，会导致视频的质量大幅下降，从而降低了数字视频的可再利用率，为此设计了一种新型的无损视频压缩算法。该算法的特点在于：(1)提出了一种改进的基于上下文树的算术编码来压缩运动补偿后的误差帧。(2)针对改进的算术编码，优化基于宏块的运动估计与补偿算法，以提高无损视频压缩算法的压缩率。对于压缩运动补偿后误差帧的算法，与静态图像无损压缩算法JPEG-LS和CALIC相比表明，该文设计的无损视频压缩算法的压缩率超过JPEG-LS算法最高为23.3%，超过CALIC算法最高为19.3%。
- 无损视频压缩;算术编码;运动估计与补偿
Abstract: It will create the problem of great degradation in video quality, when the digital video is compressed by using lossy video compression algorithm more than once. That will reduce the rate of reusing the digital video. Thus a new lossless video compression algorithm has been proposed. This algorithm features in: (1) an improved context-tree based arithmetic coding is proposed to compress the residual frame after motion compensation, and(2) macro-block based motion estimation and compensation method is optimized to improve the compression ratio of lossless video compression algorithm, with consideration to the improved arithmetic coding. When using JPEG-LS and CALIC, the existing state-of-the-art in lossless compression of still images, to encode those motion-compensated error-frames or residue frames to formulate benchmarks, the experiments illustrate that the proposed algorithm outperforms JPEG-LS by up to 23.3%, and CALIC by up to 19.3%.

HTML全文

参考文献(1)

Mitchell J L.[J].Pennebaker W B, Fogg C E, LeGall D J. MPEG Video: Compression Standard. New York: Chapman Hall.1996,:-[2]ISO/IEC JTC1/SC29/WG11 N2725, MPEG-4 Overview, 1999.[3]TU-T Draft, H263, Video Coding for Low Bit Rate Communication, 1998.[4]Bhaskaran V, Konstantinides K. Image and Video Compression Standards: Algorithms and Architectures. Norwell: Kluwer Academic Publishers, 1997: 15.195.[5]Carotti E S G, De Martin J C, Meo A R. Low-complexity lossless video coding via adaptive spatio-temporal prediction. Proceedings. 2003 International Conference on Image Processing, Barcelona, 2003: 197.200.[6]Brunello D, Calvagno G, Mian G A, Rinaldo R. Lossless compression of video using temporal information. IEEE Trans. on Image Processing, 2003, 12(2): 575586. .[7]Weinberger M J, Seroussi G, Sapiro G. The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS[J].IEEE Trans. on Image Processing.2000, 9(8):1309-[8]ISO/IEC 14495-1.[J].ITU Recommendation T.87, Information technologyLossless and near-lossless compression of continuous- tone still images.1999,:-[9]ISO/IEC FCD 14495-2, JPEG-LS Part 2, 2000.[10]Wu X, Memon N. Context-based adaptive lossless image coding[J].IEEE Trans. on Communications.1997, 45(4):437-[11]Witten I H, Neal R M, Cleary J G. Arithmetic coding for data compression[J].Communications of the ACM.1987, 30(6):520-[12]Weinberger M J, Rissanen J J, Arps R B. Applications of universal context to lossless compression of grey-level images[J].IEEE Trans. on Image Processing.1996, 5(4):575-

施引文献

资源附件(0)

访问统计