Efficient Scalable Analysis and Coding of Hypervolume Data

超容量数据的高效可扩展分析和编码

• 批准号: 175165638
• 负责人: Professor Dr.-Ing. André Kaup
• 金额: --
• 依托单位: Lehrstuhl für Multimediakommunikation und Signalverarbeitung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/175165638?language=en
• 关键词: Efficient; Scalable; Analysis; Coding; Hypervolume

Volumetric data records with three and more dimensions appear in many sectors of natural and engineering science. Dynamic 3-D volumes from magnetic resonance tomography (MRT) and computed tomography (CT) become more and more important in medical image processing. So far, this project focused on improving the analysis of high dimensional (hyper-) volume data by using compensated wavelet lifting. The goal is to obtain an improved scalable representation and feasible compensation methods were developed therefore. By their incorporation directly into the lifting structure, the structures and characteristics of the wavelet coefficients are modified fundamentally so existing methods for coding cannot operate in an optimum way anymore.In this application, novel more efficient methods for scalable coding are developed. Therefor, graph-based approaches are used. The usage of one specific coder is set aside to obtain a higher coding efficiency. Within the scope of the present research of the applicant and the literature, considerable coding gains were achieved by combining hybrid coding and specialized residual coding methods for obtaining scalable lossless coding of video data. Thus, the combination of wavelet-based and hybrid approaches is addressed to enable a more flexible Decomposition as well as a higher coding efficiency for (hyper-) volume data.

三维或三维以上的体数据记录出现在自然科学和工程科学的许多领域。磁共振断层扫描（MRT）和计算机断层扫描（CT）的动态3D体积在医学图像处理中变得越来越重要。到目前为止，该项目的重点是通过使用补偿小波提升来改善高维（超）体数据的分析。目标是获得一个改进的可扩展表示和可行的补偿方法，因此开发。通过将小波系数直接引入到提升结构中，从根本上改变了小波系数的结构和特性，使得现有的编码方法不再能够以最优的方式进行编码，从而开发了一种新的更有效的可伸缩编码方法。因此，使用基于图的方法。一个特定编码器的使用被搁置以获得更高的编码效率。在申请人和文献的当前研究的范围内，通过组合混合编码和专用残差编码方法来获得视频数据的可伸缩无损编码，实现了相当大的编码增益。因此，基于小波和混合方法的组合被解决，以实现更灵活的分解以及更高的编码效率（超）体积数据。

项目成果

Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000

使用 JPEG 2000 通过基于块的运动补偿小波提升对高通频带进行高效无损编码

• DOI: 10.1109/vcip.2014.7051590
• 发表时间: 2014
• 期刊: 2014 IEEE Visual Communications and Image Processing Conference
• 作者: W. Schnurrer;T. Tröger;T. Richter;J. Seiler;A. Kaup
• 通讯作者: A. Kaup

Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update

使用运动补偿小波提升和去噪更新来压缩动态医学 CT 数据

• DOI: 10.1109/pcs.2018.8456262
• 发表时间: 2018
• 期刊: 2018 Picture Coding Symposium (PCS)
• 作者: D. Lanz;J. Seiler;K. Jaskolka;A. Kaup
• 通讯作者: A. Kaup

Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data

医用3D胸部CT体数据小波提升位移补偿方法分析

• DOI: 10.1109/vcip.2012.6410751
• 发表时间: 2012
• 期刊: 2012 Visual Communications and Image Processing
• 作者: W. Schnurrer;J. Seiler;E. Wige;A. Kaup
• 通讯作者: A. Kaup

Improving block-based compensated wavelet lifting by reconstructing unconnected pixels

通过重建未连接的像素来改进基于块的补偿小波提升

• DOI: 10.1109/isscs.2013.6651186
• 发表时间: 2013
• 期刊: International Symposium on Signals, Circuits and Systems ISSCS2013
• 作者: W. Schnurrer;J. Seiler;A. Kaup
• 通讯作者: A. Kaup

Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+t CT data

动态 3-D t CT 数据小波提升中基于网格的运动补偿分析

• DOI: 10.1109/mmsp.2012.6343432
• 发表时间: 2012
• 期刊: 2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP)
• 作者: W. Schnurrer;T. Richter;J. Seiler;A. Kaup
• 通讯作者: A. Kaup